Fetching the paper…
Reading the bibliography…
Part segmentations provide a rich and detailed part-level description of objects.
Shape matching and object recognition using low distortion correspondences
Alexander C Berg, Tamara L Berg, and Jitendra Malik · 2005
Earlier work this paper cites.
Using recognition to guide a robot’s attention
Alexander Thomas, Vittorio Ferrari, Bastian Leibe, Tinne Tuytelaars, and Luc Van Gool · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Sift flow: Dense correspondence across scenes and its applications
Ce Liu, Jenny Yuen, and Antonio Torralba · 2010
Earlier work this paper cites.
Real-time human pose recognition in parts from single depth images
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, and Andrew Blake · 2011
Earlier work this paper cites.
Fine-grained categorization for 3d scene understanding
Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J Little, Bernt Schiele, and Daphne Koller · 2011
Earlier work this paper cites.
Articulated pose estimation with flexible mixtures-of-parts
Yi Yang and Deva Ramanan · 2011
Earlier work this paper cites.
Object detection using strongly-supervised deformable part models
Hossein Azizpour and Ivan Laptev · 2012
Earlier work this paper cites.
Interactive facial feature localization
Vuong Le, Jonathan Brandt, Zhe Lin, Lubomir Bourdev, and Thomas S Huang · 2012
Earlier work this paper cites.
Discriminative hierarchical part-based models for human parsing and action recognition
Yang Wang, Duan Tran, Zicheng Liao, and David Forsyth · 2012
Earlier work this paper cites.
Parsing clothing in fashion photographs
Kota Yamaguchi, M Hadi Kiapour, Luis E Ortiz, and Tamara L Berg · 2012
Earlier work this paper cites.
Deformable spatial pyramid matching for fast dense correspondences
Jaechul Kim, Ce Liu, Fei Sha, and Kristen Grauman · 2013
Earlier work this paper cites.
Learning discriminative part detectors for image classification and cosegmentation
Jian Sun and Jean Ponce · 2013
Earlier work this paper cites.
Efficient scene understanding for intelligent vehicles using a part-based road representation
Daniel Töpfer, Jens Spehr, Jan Effertz, and Christoph Stiller · 2013
Earlier work this paper cites.
Detect what you can: Detecting and representing objects using holistic models and body parts
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, and Alan Yuille · 2014
Earlier work this paper cites.
Towards unified human parsing and pose estimation
Jian Dong, Qiang Chen, Xiaohui Shen, Jianchao Yang, and Shuicheng Yan · 2014
Earlier work this paper cites.
Parsing semantic parts of cars using graphical models and segment appearance consistency
Wenhao Lu, Xiaochen Lian, and Alan Yuille · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Deep domain confusion: Maximizing for domain invariance
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell · 2014
Earlier work this paper cites.
Beyond pascal: A benchmark for 3d object detection in the wild
Yu Xiang, Roozbeh Mottaghi, and Silvio Savarese · 2014
Earlier work this paper cites.
Part-based r-cnns for fine-grained category detection
Ning Zhang, Jeff Donahue, Ross Girshick, and Trevor Darrell · 2014
Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Earlier work this paper cites.
Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
Earlier work this paper cites.
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu · 2015
Earlier work this paper cites.
Deep human parsing with active template regression
Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, and Shuicheng Yan · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
Learning transferable features with deep adaptation networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael Jordan · 2015
Earlier work this paper cites.
Visual domain adaptation: A survey of recent advances
Vishal M Patel, Raghuraman Gopalan, Ruonan Li, and Rama Chellappa · 2015
Earlier work this paper cites.
Simultaneous deep transfer across domains and tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell, and Kate Saenko · 2015
Earlier work this paper cites.
Semantic part segmentation using compositional model combining shape and appearance
Jianyu Wang and Alan L Yuille · 2015
Earlier work this paper cites.
Unsupervised learning of object semantic parts from internal states of cnns by population encoding
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Vittal Premachandran, and Alan Yuille · 2015
Earlier work this paper cites.
Joint object and part segmentation using deep learned potentials
Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, and Alan L Yuille · 2015
Earlier work this paper cites.
Understanding real world indoor scenes with synthetic data
Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, and Roberto Cipolla · 2016
Earlier work this paper cites.
Fcns in the wild: Pixel-level adversarial and constraint-based adaptation
Judy Hoffman, Dequan Wang, Fisher Yu, and Trevor Darrell · 2016
Earlier work this paper cites.
Semantic object parsing with graph lstm
Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, and Shuicheng Yan · 2016
Earlier work this paper cites.
Data-driven contextual modeling for 3d scene understanding
Yifei Shi, Pinxin Long, Kai Xu, Hui Huang, and Yueshan Xiong · 2016
Cited alongside, same era.
Deep coral: Correlation alignment for deep domain adaptation
Baochen Sun and Kate Saenko · 2016
Cited alongside, same era.
Joint recovery of dense correspondence and cosegmentation in two images
Tatsunori Taniai, Sudipta N Sinha, and Yoichi Sato · 2016
Cited alongside, same era.
Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
Fangting Xia, Peng Wang, Liang-Chieh Chen, and Alan L Yuille · 2016
Cited alongside, same era.
Pose-guided human parsing by an and/or graph using pose-context features
Fangting Xia, Jun Zhu, Peng Wang, and Alan Yuille · 2016
Cited alongside, same era.
A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
Training deep networks with synthetic data: Bridging the reality gap by domain randomization
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, and Stan Birchfield · 2018
Later among the works it cites.
Learning to adapt structured output space for semantic segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, and Manmohan Chandraker · 2018
Later among the works it cites.
Dcan: Dual channel-wise alignment networks for unsupervised scene adaptation
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gokhan Uzunbas, Tom Goldstein, Ser Nam Lim, and Larry S Davis · 2018
Later among the works it cites.
Unrealstereo: Controlling hazardous factors to analyze stereo vision
Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, and Alan Yuille · 2018
Later among the works it cites.
Unsupervised domain adaptation for 3d keypoint estimation via view consistency
Xingyi Zhou, Arjun Karpur, Chuang Gan, Linjie Luo, and Qixing Huang · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Learning dense correspondence via 3d-guided cycle consistency
Tinghui Zhou, Philipp Krahenbuhl, Mathieu Aubry, Qixing Huang, and Alexei A Efros · 2016
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
Cited alongside, same era.
Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, and Liang Lin · 2017
Cited alongside, same era.
Proposal flow: Semantic correspondences from object proposals
Bumsub Ham, Minsu Cho, Cordelia Schmid, and Jean Ponce · 2017
Cited alongside, same era.
Scnet: Learning semantic correspondence
Kai Han, Rafael S Rezende, Bumsub Ham, Kwan-Yee K Wong, Minsu Cho, Cordelia Schmid, and Jean Ponce · 2017
Cited alongside, same era.
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens Van Der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
Cited alongside, same era.
Unsupervised domain adaptation for semantic segmentation via class-balanced self-training
Yang Zou, Zhiding Yu, BVK Kumar, and Jinsong Wang · 2018
Later among the works it cites.
Semantic part detection via matching: Learning to generalize to novel viewpoints from limited training data
Yutong Bai, Qing Liu, Lingxi Xie, Weichao Qiu, Yan Zheng, and Alan L Yuille · 2019
Later among the works it cites.
All about structure: Adapting structural information across domains for boosting semantic segmentation
Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, and Wei-Chen Chiu · 2019
Later among the works it cites.
Arbicon-net: Arbitrary continuous geometric transformation networks for image registration
Jianchun Chen, Lingjing Wang, Xiang Li, and Yi Fang · 2019
Later among the works it cites.
The VIA annotation software for images, audio and video
Abhishek Dutta and Andrew Zisserman · 2019
Later among the works it cites.
Contrastive adaptation network for unsupervised domain adaptation
Guoliang Kang, Lu Jiang, Yi Yang, and Alexander G Hauptmann · 2019
Later among the works it cites.
Analyzing and reducing the damage of dataset bias to face recognition with synthetic data
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, and Thomas Vetter · 2019
Later among the works it cites.
Bidirectional learning for domain adaptation of semantic segmentation
Yunsheng Li, Lu Yuan, and Nuno Vasconcelos · 2019
Later among the works it cites.
Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation
Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, and Yi Yang · 2019
Later among the works it cites.
Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding
Kaichun Mo, Shilin Zhu, Angel X Chang, Li Yi, Subarna Tripathi, Leonidas J Guibas, and Hao Su · 2019
Later among the works it cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Later among the works it cites.
Structured domain randomization: Bridging the reality gap by context-aware synthetic data
Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, and Stan Birchfield · 2019
Later among the works it cites.
Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving
Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, and Ruigang Yang · 2019
Later among the works it cites.
Category anchor-guided unsupervised domain adaptation for semantic segmentation
Qiming Zhang, Jing Zhang, Wei Liu, and Dacheng Tao · 2019
Later among the works it cites.
Multi-class part parsing with joint boundary-semantic awareness
Yifan Zhao, Jia Li, Yu Zhang, and Yonghong Tian · 2019
Later among the works it cites.
Confidence regularized self-training
Yang Zou, Zhiding Yu, Xiaofeng Liu, BVK Kumar, and Jinsong Wang · 2019
Later among the works it cites.
Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
Bowen Cheng, Maxwell D Collins, Yukun Zhu, Ting Liu, Thomas S Huang, Hartwig Adam, and Liang-Chieh Chen · 2020
Later among the works it cites.
Cscl: Critical semantic-consistent learning for unsupervised domain adaptation
Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, and Xiaowei Xu · 2020
Later among the works it cites.
Contextual-relation consistent domain adaptation for semantic segmentation
Jiaxing Huang, Shijian Lu, Dayan Guan, and Xiaobing Zhang · 2020
Later among the works it cites.
Pixel-level cycle association: A new perspective for domain adaptive semantic segmentation
Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, and Alexander Hauptmann · 2020
Later among the works it cites.
Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2020
Later among the works it cites.
Content-consistent matching for domain adaptive semantic segmentation
Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, and Yi Yang · 2020
Later among the works it cites.
Beyond the parts: Learning multi-view cross-part correlation for vehicle re-identification
Xinchen Liu, Wu Liu, Jinkai Zheng, Chenggang Yan, and Tao Mei · 2020
Later among the works it cites.
Gmnet: Graph matching network for large scale part semantic segmentation in the wild
Umberto Michieli, Edoardo Borsato, Luca Rossi, and Pietro Zanuttigh · 2020
Later among the works it cites.
Learning from synthetic animals
Jiteng Mu, Weichao Qiu, Gregory D Hager, and Alan L Yuille · 2020
Later among the works it cites.
Partimagenet: A large, high-quality dataset of parts
Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, and Alan Yuille · 2021
Closest in time.
List of bicycle parts — Wikipedia, the free encyclopedia, 2020
Wikipedia contributors · 2021
Closest in time.
List of auto parts — Wikipedia, the free encyclopedia, 2021
Wikipedia contributors · 2021
Closest in time.
Motorcycle components — Wikipedia, the free encyclopedia, 2021
Wikipedia contributors · 2021
Closest in time.
Learning from synthetic vehicles
Tae Soo Kim, Bohoon Shim, Michael Peven, Weichao Qiu, Alan Yuille, and Gregory D. Hager · 2022
Closest in time.