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Object proposals have become an integral preprocessing steps of many vision pipelines including object detection, weakly supervised detection, object discovery, tracking, etc.
Scale and object aware image retargeting for thumbnail browsing
Jin Sun and Haibin Ling · 2011
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Measuring the objectness of image windows
Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari · 2012
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Semantic segmentation using regions and parts
Pablo Arbeláez, Bharath Hariharan, Chunhui Gu, Saurabh Gupta, Lubomir Bourdev, and Jitendra Malik · 2012
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Semantic segmentation with second-order pooling
Joao Carreira, Rui Caseiro, Jorge Batista, and Cristian Sminchisescu · 2012
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Weakly supervised localization and learning with generic knowledge
Thomas Deselaers, Bogdan Alexe, and Vittorio Ferrari · 2012
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Category-independent object proposals with diverse ranking
Ian Endres and Derek Hoiem · 2013
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Devise: A deep visual-semantic embedding model
Andrea Frome, Greg Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc’Aurelio Ranzato, and Tomas Mikolov · 2013
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Prime object proposals with randomized prim’s algorithm
Santiago Manen, Matthieu Guillaumin, and Luc Van Gool · 2013
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Unsupervised joint object discovery and segmentation in internet images
Michael Rubinstein, Armand Joulin, Johannes Kopf, and Ce Liu · 2013
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Multiscale combinatorial grouping
Pablo Arbeláez, Jordi Pont-Tuset, Jonathan T Barron, Ferran Marques, and Jitendra Malik · 2014
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Lsda: Large scale detection through adaptation
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, and Kate Saenko · 2014
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Geodesic object proposals
Philipp Krähenbühl and Vladlen Koltun · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Edge boxes: Locating object proposals from edges
C Lawrence Zitnick and Piotr Dollár · 2014
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Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
Minsu Cho, Suha Kwak, Cordelia Schmid, and Jean Ponce · 2015
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Convolutional feature masking for joint object and stuff segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
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Deepbox: Learning objectness with convolutional networks
Weicheng Kuo, Bharath Hariharan, and Jitendra Malik · 2015
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Unsupervised object discovery and tracking in video collections
Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, and Cordelia Schmid · 2015
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Learning to segment object candidates
Pedro OO Pinheiro, Ronan Collobert, and Piotr Dollár · 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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Transferring rich feature hierarchies for robust visual tracking
Naiyan Wang, Siyi Li, Abhinav Gupta, and Dit-Yan Yeung · 2015
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Weakly supervised deep detection networks
Hakan Bilen and Andrea Vedaldi · 2016
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Object-proposal evaluation protocol is’ gameable’
Neelima Chavali, Harsh Agrawal, Aroma Mahendru, and Dhruv Batra · 2016
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Attend refine repeat: Active box proposal generation via in-out localization
Spyros Gidaris and Nikos Komodakis · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
Cited alongside, same era.
Multiscale combinatorial grouping for image segmentation and object proposal generation
Jordi Pont-Tuset, Pablo Arbelaez, Jonathan T Barron, Ferran Marques, and Jitendra Malik · 2016
Cited alongside, same era.
Large scale semi-supervised object detection using visual and semantic knowledge transfer
Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandréa, Robert Gaizauskas, and Liming Chen · 2016
Cited alongside, same era.
Robonet: Large-scale multi-robot learning
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, and Chelsea Finn · 2019
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C-midn: Coupled multiple instance detection network with segmentation guidance for weakly supervised object detection
Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, and Dongrui Fan · 2019
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LVIS: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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Mask scoring r-cnn
Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, and Xinggang Wang · 2019
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Few-shot object detection via feature reweighting
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, and Trevor Darrell · 2019
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Craft objects from images
Bin Yang, Junjie Yan, Zhen Lei, and Stan Z Li · 2016
Cited alongside, same era.
Weakly supervised cascaded convolutional networks
Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash, and Luc Van Gool · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.
Yolo9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
Cited alongside, same era.
Multiple instance detection network with online instance classifier refinement
Peng Tang, Xinggang Wang, Xiang Bai, and Wenyu Liu · 2017
Cited alongside, same era.
Zero-shot object detection
Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, and Ajay Divakaran · 2018
Cited alongside, same era.
Zoom out-and-in network with map attention decision for region proposal and object detection
Hongyang Li, Yu Liu, Wanli Ouyang, and Xiaogang Wang · 2019
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Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Objects365: A large-scale, high-quality dataset for object detection
Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, Xiangyu Zhang, Jing Li, and Jian Sun · 2019
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Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Cascade rpn: Delving into high-quality region proposal network with adaptive convolution
Thang Vu, Hyunjun Jang, Trung X Pham, and Chang D Yoo · 2019
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Region proposal by guided anchoring
Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, and Dahua Lin · 2019
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Meta-learning to detect rare objects
Yu-Xiong Wang, Deva Ramanan, and Martial Hebert · 2019
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Meta r-cnn: Towards general solver for instance-level low-shot learning
Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, and Liang Lin · 2019
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Detecting 11k classes: Large scale object detection without fine-grained bounding boxes
Hao Yang, Hao Wu, and Hao Chen · 2019
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Robust vision challenge 2020 official website
Robust Vision Challenge 2020 · 2020
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The epic-kitchens dataset: Collection, challenges and baselines
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray · 2020
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Simple copy-paste is a strong data augmentation method for instance segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D Cubuk, Quoc V Le, and Barret Zoph · 2020
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1st place solution of lvis challenge 2020: A good box is not a guarantee of a good mask
Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, and Jifeng Dai · 2020
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What leads to generalization of object proposals?
Rui Wang, Dhruv Mahajan, and Vignesh Ramanathan · 2020
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The devil is in classification: A simple framework for long-tail instance segmentation
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, and Jiashi Feng · 2020
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Frustratingly simple few-shot object detection
Xin Wang, Thomas E Huang, Trevor Darrell, Joseph E Gonzalez, and Fisher Yu · 2020
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Iou-aware single-stage object detector for accurate localization
Shengkai Wu, Xiaoping Li, and Xinggang Wang · 2020
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Towards open world object detection
KJ Joseph, Salman Khan, Fahad Shahbaz Khan, and Vineeth N Balasubramanian · 2021
Closest in time.
Unidentified video objects: A benchmark for dense, open-world segmentation
Weiyao Wang, Matt Feiszli, Heng Wang, and Du Tran · 2021
Closest in time.