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We introduce DiscoBox, a novel framework that jointly learns instance segmentation and semantic correspondence using bounding box supervision.
Rapid object detection using a boosted cascade of simple features
Paul Viola and Michael Jones · 2001
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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“GrabCut”: Interactive foreground extraction using iterated graph cuts
Carsten Rother, Vladimir Kolmogorov, and Andrew Blake · 2004
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SURF: Speeded up robust features
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool · 2006
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Machine learning for high-speed corner detection
Edward Rosten and Tom Drummond · 2006
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Photo Tourism: Exploring photo collections in 3D
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2006
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The Sinkhorn–Knopp algorithm: Convergence and applications
Philip A Knight · 2008
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DAISY: An efficient dense descriptor applied to wide-baseline stereo
Engin Tola, Vincent Lepetit, and Pascal Fua · 2009
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SIFT Flow: Dense correspondence across scenes and its applications
Ce Liu, Jenny Yuen, and Antonio Torralba · 2010
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The MOPED framework: Object recognition and pose estimation for manipulation
Alvaro Collet, Manuel Martinez, and Siddhartha S Srinivasa · 2011
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The Caltech-UCSD Birds-200-2011 Dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
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Efficient inference in fully connected CRFs with Gaussian edge potentials
Philipp Krähenbühl and Vladlen Koltun · 2011
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Analyzing 3d objects in cluttered images
Mohsen Hejrati and Deva Ramanan · 2012
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Face detection, pose estimation, and landmark localization in the wild
Xiangxin Zhu and Deva Ramanan · 2012
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Simultaneous detection and segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2014
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Beyond PASCAL: A benchmark for 3d object detection in the wild
Yu Xiang, Roozbeh Mottaghi, and Silvio Savarese · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 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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Multiscale combinatorial grouping
Pablo Arbeláez, Jordi Pont-Tuset, Jonathan T Barron, Ferran Marques, and Jitendra Malik · 2014
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TILDE: A temporally invariant learned detector
Yannick Verdie, Kwang Yi, Pascal Fua, and Vincent Lepetit · 2015
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MatchNet: Unifying feature and metric learning for patch-based matching
Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, and Alexander C Berg · 2015
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FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences
Tinghui Zhou, Yong Jae Lee, Stella X Yu, and Alyosha A Efros · 2015
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Viewpoints and keypoints
Shubham Tulsiani and Jitendra Malik · 2015
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DenseBox: Unifying landmark localization with end to end object detection
Lichao Huang, Yi Yang, Yafeng Deng, and Yinan Yu · 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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BoxSup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
George Papandreou, Liang-Chieh Chen, Kevin P Murphy, and Alan L Yuille · 2015
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ObjectNet3D: A large scale database for 3d object recognition
Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas, and Silvio Savarese · 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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Universal correspondence network
Christopher B Choy, JunYoung Gwak, Silvio Savarese, and Manmohan Chandraker · 2016
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Joint recovery of dense correspondence and cosegmentation in two images
Tatsunori Taniai, Sudipta N Sinha, and Yoichi Sato · 2016
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I have seen enough: Transferring parts across categories
David Novotny, Diane Larlus, and Andrea Vedaldi · 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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SSD: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Cited alongside, same era.
Instance-aware semantic segmentation via multi-task network cascades
Jifeng Dai, Kaiming He, and Jian Sun · 2016
Cited alongside, same era.
What’s the point: Semantic segmentation with point supervision
Amy Bearman, Olga Russakovsky, Vittorio Ferrari, and Li Fei-Fei · 2016
Cited alongside, same era.
ScribbleSup: Scribble-supervised convolutional networks for semantic segmentation
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun · 2016
Cited alongside, same era.
Weakly supervised deep detection networks
Hakan Bilen and Andrea Vedaldi · 2016
Cited alongside, same era.
Proposal flow
Bumsub Ham, Minsu Cho, Cordelia Schmid, and Jean Ponce · 2016
Cited alongside, same era.
Hyperpixel flow: Semantic correspondence with multi-layer neural features
Juhong Min, Jongmin Lee, Jean Ponce, and Minsu Cho · 2019
Later among the works it cites.
Canonical surface mapping via geometric cycle consistency
Nilesh Kulkarni, Abhinav Gupta, and Shubham Tulsiani · 2019
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Show, match and segment: Joint learning of semantic matching and object co-segmentation
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang · 2019
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SCOPS: Self-supervised co-part segmentation
Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, and Jan Kautz · 2019
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SFNet: Learning object-aware semantic correspondence
Junghyup Lee, Dohyung Kim, Jean Ponce, and Bumsub Ham · 2019
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C3DPO: Canonical 3d pose networks for non-rigid structure from motion
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, and Andrea Vedaldi · 2019
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How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat and Georgios Tzimiropoulos · 2017
Cited alongside, same era.
Convolutional neural network architecture for geometric matching
Ignacio Rocco, Relja Arandjelovic, and Josef Sivic · 2017
Cited alongside, same era.
6-DoF object pose from semantic keypoints
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G Derpanis, and Kostas Daniilidis · 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.
Simple does it: Weakly supervised instance and semantic segmentation
Anna Khoreva, Rodrigo Benenson, Jan Hosang, Matthias Hein, and Bernt Schiele · 2017
Cited alongside, same era.
Fully convolutional instance-aware semantic segmentation
Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, and Yichen Wei · 2017
Cited alongside, same era.
Later among the works it cites.
SPair-71k: A large-scale benchmark for semantic correspondence
Juhong Min, Jongmin Lee, Jean Ponce, and Minsu Cho · 2019
Later among the works it cites.
Weakly supervised instance segmentation using the bounding box tightness prior
Cheng-Chun Hsu, Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, and Yung-Yu Chuang · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 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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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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YOLACT: Real-time instance segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao, and Yong Jae Lee · 2019
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Weakly supervised scene parsing with point-based distance metric learning
Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, and Thomas Huang · 2019
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Box-driven class-wise region masking and filling rate guided loss for weakly supervised semantic segmentation
Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang · 2019
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Weakly supervised learning of instance segmentation with inter-pixel relations
Jiwoon Ahn, Sunghyun Cho, and Suha Kwak · 2019
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Dynamic context correspondence network for semantic alignment
Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, and Xuming He · 2019
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SuperGlue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
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Semantic correspondence as an optimal transport problem
Yanbin Liu, Linchao Zhu, Makoto Yamada, and Yi Yang · 2020
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Guided semantic flow
Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, and Kwanghoon Sohn · 2020
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Learning to compose hypercolumns for visual correspondence
Juhong Min, Jongmin Lee, Jean Ponce, and Minsu Cho · 2020
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Self-supervised single-view 3D reconstruction via semantic consistency
Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, and Jan Kautz · 2020
Later among the works it cites.
Weakly supervised instance segmentation by learning annotation consistent instances
Aditya Arun, CV Jawahar, and M Pawan Kumar · 2020
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YOLACT++: Better real-time instance segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao, and Yong Jae Lee · 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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Conditional convolutions for instance segmentation
Zhi Tian, Chunhua Shen, and Hao Chen · 2020
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Solov2: Dynamic and fast instance segmentation
Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, and Chunhua Shen · 2020
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Mining cross-image semantics for weakly supervised semantic segmentation
Guolei Sun, Wenguan Wang, Jifeng Dai, and Luc Van Gool · 2020
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Box2Seg: Attention weighted loss and discriminative feature learning for weakly supervised segmentation
Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip Torr, and Ambrish Tyagi · 2020
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Fixmatch: Simplifying semi-supervised learning with consistency and confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D Cubuk, Alex Kurakin, Han Zhang, and Colin Raffel · 2020
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Self-training with noisy student improves imagenet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy, and Quoc V Le · 2020
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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EfficientDet: Scalable and efficient object detection
Mingxing Tan, Ruoming Pang, and Quoc V Le · 2020
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Boxinst: High-performance instance segmentation with box annotations
Zhi Tian, Chunhua Shen, Xinlong Wang, and Hao Chen · 2021
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