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This paper presents a comprehensive survey on vision-based robotic grasping.
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Opengrasp: A toolkit for robot grasping simulation
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Transforming auto-encoders
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Efficient grasping from rgbd images: Learning using a new rectangle representation
Yun Jiang, Stephen Moseson, and Ashutosh Saxena · 2011
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Orb: An efficient alternative to sift or surf
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Robustly segmenting cylindrical and box-like objects in cluttered scenes using depth cameras
Lucian Cosmin Goron, Zoltan-Csaba Marton, Gheorghe Lazea, and Michael Beetz · 2012
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Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary Bradski, Kurt Konolige, and Nassir Navab · 2012
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Imagenet classification with deep convolutional neural networks
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An overview of 3d object grasp synthesis algorithms
A. Sahbani, S. El-Khoury, and P. Bidaud · 2012
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Geodesic saliency using background priors
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Segmenting salient objects in 3d point clouds of indoor scenes using geodesic distances
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A linear approach to matching cuboids in rgbd images
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A survey of rigid 3d pointcloud registration algorithms
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Ming-Ming Cheng, Niloy J Mitra, Xiaolei Huang, Philip HS Torr, and Shi-Min Hu · 2014
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Fast graspability evaluation on single depth maps for bin picking with general grippers
Yukiyasu Domae, Haruhisa Okuda, Yuichi Taguchi, Kazuhiko Sumi, and Takashi Hirai · 2014
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Simultaneous detection and segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2014
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Super 4pcs fast global pointcloud registration via smart indexing
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Rgbd salient object detection: a benchmark and algorithms
Houwen Peng, Bing Li, Weihua Xiong, Weiming Hu, and Rongrong Ji · 2014
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Shuran Song and Jianxiong Xiao · 2014
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Latent-class hough forests for 3d object detection and pose estimation
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Saliency optimization from robust background detection
Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun · 2014
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Fast r-cnn
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Detection and fine 3d pose estimation of texture-less objects in rgb-d images
Tomáš Hodaň, Xenophon Zabulis, Manolis Lourakis, Štěpán Obdržálek, and Jiří Matas · 2015
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Separating objects and clutter in indoor scenes
Salman H Khan, Xuming He, Mohammed Bennamoun, Ferdous Sohel, and Roberto Togneri · 2015
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Deep learning for detecting robotic grasps
Ian Lenz, Honglak Lee, and Ashutosh Saxena · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Orb-slam: a versatile and accurate monocular slam system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
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Category-based task specific grasping
Ekaterina Nikandrova and Ville Kyrki · 2015
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Using geometry to detect grasps in 3d point clouds
Andreas ten Pas and Robert Platt · 2015
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Learning to segment object candidates
Pedro OO Pinheiro, Ronan Collobert, and Piotr Dollár · 2015
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Real-time grasp detection using convolutional neural networks
Joseph Redmon and Anelia Angelova · 2015
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Exploiting global priors for rgb-d saliency detection
Jianqiang Ren, Xiaojin Gong, Lu Yu, Wenhui Zhou, and Michael Ying Yang · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Hierarchical image saliency detection on extended cssd
Jianping Shi, Qiong Yan, Li Xu, and Jiaya Jia · 2015
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Go-icp: A globally optimal solution to 3d icp point-set registration
Jiaolong Yang, Hongdong Li, Dylan Campbell, and Yunde Jia · 2015
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Saliency detection by multi-context deep learning
Rui Zhao, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang · 2015
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Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, et al · 2016
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Instance-sensitive fully convolutional networks
Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, and Jian Sun · 2016
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Instance-aware semantic segmentation via multi-task network cascades
Jifeng Dai, Kaiming He, and Jian Sun · 2016
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R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
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Deep image retrieval: Learning global representations for image search
Albert Gordo, Jon Almazán, Jerome Revaud, and Diane Larlus · 2016
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Object discovery and grasp detection with a shared convolutional neural network
Di Guo, Tao Kong, Fuchun Sun, and Huaping Liu · 2016
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A comprehensive performance evaluation of 3d local feature descriptors
Yulan Guo, Mohammed Bennamoun, Ferdous Sohel, Min Lu, Jianwei Wan, and Ngai Ming Kwok · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Dhsnet: Deep hierarchical saliency network for salient object detection
Nian Liu and Junwei Han · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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Salient object detection via structured matrix decomposition
Houwen Peng, Bing Li, Haibin Ling, Weiming Hu, Weihua Xiong, and Stephen J Maybank · 2016
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Learning to refine object segments
Pedro O Pinheiro, Tsung-Yi Lin, Ronan Collobert, and Piotr Dollár · 2016
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Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
Lerrel Pinto and Abhinav Gupta · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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A dataset for improved rgbd-based object detection and pose estimation for warehouse pick-and-place
Colin Rennie, Rahul Shome, Kostas E Bekris, and Alberto F De Souza · 2016
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Deep sliding shapes for amodal 3d object detection in rgb-d images
Shuran Song and Jianxiong Xiao · 2016
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Part-based grasp planning for familiar objects
Nikolaus Vahrenkamp, Leonard Westkamp, Natsuki Yamanobe, Eren E Aksoy, and Tamim Asfour · 2016
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Correspondence driven saliency transfer
Wenguan Wang, Jianbing Shen, Ling Shao, and Fatih Porikli · 2016
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Lift: Learned invariant feature transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, and Pascal Fua · 2016
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Unconstrained salient object detection via proposal subset optimization
Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian Price, and Radomir Mech · 2016
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Fast global registration
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2016
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Robust 3d object tracking from monocular images using stable parts
Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, and Vincent Lepetit · 2017
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Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration
Angela Dai, Matthias Nießner, Michael Zollhöfer, Shahram Izadi, and Christian Theobalt · 2017
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Submanifold sparse convolutional networks
Benjamin Graham and Laurens van der Maaten · 2017
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A hybrid deep architecture for robotic grasp detection
Di Guo, Fuchun Sun, Huaping Liu, Tao Kong, Bin Fang, and Ning Xi · 2017
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Video saliency detection using object proposals
Fang Guo, Wenguan Wang, Jianbing Shen, Ling Shao, Jian Yang, Dacheng Tao, and Yuan Yan Tang · 2017
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Mask r-cnn
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Deeply supervised salient object detection with short connections
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Robotic grasp detection using deep convolutional neural networks
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Cleargrasp: 3d shape estimation of transparent objects for manipulation
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Centripetalnet: Pursuing high-quality keypoint pairs for object detection
Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, and Chen Qian · 2020
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Associate-3ddet: Perceptual-to-conceptual association for 3d point cloud object detection
Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, and Shilei Wen · 2020
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3d-mpa: Multi-proposal aggregation for 3d semantic instance segmentation
Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, and Matthias Nießner · 2020
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Fgn: Fully guided network for few-shot instance segmentation
Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, and Yuanqing Li · 2020
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Graspnet-1billion: A large-scale benchmark for general object grasping
Hao-Shu Fang, Chenxi Wang, Minghao Gou, and Cewu Lu · 2020
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6d object pose regression via supervised learning on point clouds
Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, and Simone Frintrop · 2020
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Yoloff: You only learn offsets for robust 6dof object pose estimation
Mathieu Gonzalez, Amine Kacete, Albert Murienne, and Eric Marchand · 2020
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Deep learning for 3d point clouds: A survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, and Mohammed Bennamoun · 2020
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A survey on instance segmentation: state of the art
Abdul Mueed Hafiz and Ghulam Mohiuddin Bhat · 2020
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Occuseg: Occupancy-aware 3d instance segmentation
Lei Han, Tian Zheng, Lan Xu, and Lu Fang · 2020
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Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation
Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, and Jian Sun · 2020
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Epos: Estimating 6d pose of objects with symmetries
Tomas Hodan, Daniel Barath, and Jiri Matas · 2020
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Tactile dexterity: Manipulation primitives with tactile feedback
Francois R Hogan, Jose Ballester, Siyuan Dong, and Alberto Rodriguez · 2020
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Single-stage 6d object pose estimation
Yinlin Hu, Pascal Fua, Wei Wang, and Mathieu Salzmann · 2020
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Pointrend: Image segmentation as rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick · 2020
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Centermask: Real-time anchor-free instance segmentation
Youngwan Lee and Jongyoul Park · 2020
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Cross-modal weighting network for rgb-d salient object detection
Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, and Haibin Ling · 2020
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Deep learning for generic object detection: A survey
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, and Matti Pietikäinen · 2020
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Keypose: Multi-view 3d labeling and keypoint estimation for transparent objects
Xingyu Liu, Rico Jonschkowski, Anelia Angelova, and Kurt Konolige · 2020
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Tanet: Robust 3d object detection from point clouds with triple attention
Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, and Xiang Bai · 2020
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Learning to group: A bottom-up framework for 3d part discovery in unseen categories
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, and Hao Su · 2020
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Semi-supervised grasp detection by representation learning in a vector quantized latent space
Mridul Mahajan, Tryambak Bhattacharjee, Arya Krishnan, Priya Shukla, and GC Nandi · 2020
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Dops: Learning to detect 3d objects and predict their 3d shapes
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas Funkhouser, Caroline Pantofaru, David Ross, Larry S Davis, and Alireza Fathi · 2020
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Peiyuan Ni, Wenguang Zhang, Xiaoxiao Zhu, and Qixin Cao · 2020
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Hierarchical dynamic filtering network for rgb-d salient object detection
Youwei Pang, Lihe Zhang, Xiaoqi Zhao, and Huchuan Lu · 2020
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Latentfusion: End-to-end differentiable reconstruction and rendering for unseen object pose estimation
Keunhong Park, Arsalan Mousavian, Yu Xiang, and Dieter Fox · 2020
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Timothy Patten, Kiru Park, and Markus Vincze · 2020
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Lcd: Learned cross-domain descriptors for 2d-3d matching
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, and Sai-Kit Yeung · 2020
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Imvotenet: Boosting 3d object detection in point clouds with image votes
Charles R Qi, Xinlei Chen, Or Litany, and Leonidas J Guibas · 2020
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S4g: Amodal single-view single-shot se (3) grasp detection in cluttered scenes
Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, and Hao Su · 2020
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Point-gnn: Graph neural network for 3d object detection in a point cloud
Weijing Shi and Raj Rajkumar · 2020
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Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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Stickypillars: Robust feature matching on point clouds using graph neural networks
Martin Simon, Kai Fischer, Stefan Milz, Christian Tobias Witt, and Horst-Michael Gross · 2020
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Hybridpose: 6d object pose estimation under hybrid representations
Chen Song, Jiaru Song, and Qixing Huang · 2020
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Evolution of image segmentation using deep convolutional neural network: A survey
Farhana Sultana, Abu Sufian, and Paramartha Dutta · 2020
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A review of object detection models based on convolutional neural network
Farhana Sultana, Abu Sufian, and Paramartha Dutta · 2020
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Online self-supervised learning for object picking: Detecting optimum grasping position using a metric learning approach
Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa, and Tomoyoshi Takebayashi · 2020
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Robust 6d object pose estimation by learning rgb-d features
Meng Tian, Liang Pan, Marcelo H Ang Jr, and Gim Hee Lee · 2020
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Robotic grasping through combined image-based grasp proposal and 3d reconstruction
Tarik Tosun, Daniel Yang, Ben Eisner, Volkan Isler, and Daniel Lee · 2020
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When deep learning meets data alignment: A review on deep registration networks (drns)
Victor Villena-Martinez, Sergiu Oprea, Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo, and Robert B Fisher · 2020
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Morefusion: Multi-object reasoning for 6d pose estimation from volumetric fusion
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, and Andrew J Davison · 2020
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The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation
Christopher Xie, Yu Xiang, Arsalan Mousavian, and Dieter Fox · 2020
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Polarmask: Single shot instance segmentation with polar representation
Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, and Ping Luo · 2020
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Mlcvnet: Multi-level context votenet for 3d object detection
Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, and Jun Wang · 2020
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Teaser: Fast and certifiable point cloud registration
Heng Yang, Jingnan Shi, and Luca Carlone · 2020
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3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
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Hvnet: Hybrid voxel network for lidar based 3d object detection
Maosheng Ye, Shuangjie Xu, and Tongyi Cao · 2020
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A multi-task learning framework for grasping-position detection and few-shot classification
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, and Tomoyoshi Takebayashi · 2020
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6dof object pose estimation via differentiable proxy voting loss
Xin Yu, Zheyu Zhuang, Piotr Koniusz, and Hongdong Li · 2020
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Self-supervised point set local descriptors for point cloud registration
Yijun Yuan, Jiawei Hou, Andreas Nüchter, and Sören Schwertfeger · 2020
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Instance segmentation of lidar point clouds
Feihu Zhang, Chenye Guan, Jin Fang, Song Bai, Ruigang Yang, Philip Torr, and Victor Prisacariu · 2020
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H3dnet: 3d object detection using hybrid geometric primitives
Zaiwei Zhang, Bo Sun, Haitao Yang, and Qixing Huang · 2020
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Jsnet: Joint instance and semantic segmentation of 3d point clouds
Lin Zhao and Wenbing Tao · 2020
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Regnet: Region-based grasp network for single-shot grasp detection in point clouds
Binglei Zhao, Hanbo Zhang, Xuguang Lan, Haoyu Wang, Zhiqiang Tian, and Nanning Zheng · 2020
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Multi-source domain adaptation in the deep learning era: A systematic survey
Sicheng Zhao, Bo Li, Pengfei Xu, and Kurt Keutzer · 2020
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Lrf-net: Learning local reference frames for 3d local shape description and matching
Angfan Zhu, Jiaqi Yang, Chen Zhao, Ke Xian, Zhiguo Cao, and Xin Li · 2020
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