No. | Figure | Title | Authors | Pub. | Links |
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4 | Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning | Weifeng Ge, Sibei Yang, Yizhou Yu | CVPR 2018 | paper |
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3 | Learning to Adapt Structured Output Space for Semantic Segmentation | Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker | CVPR 2018 | paper github |
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2 | Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation | Jiwoon Ahn, Suha Kwak | CVPR 2018 | paper |
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1 | Learning to Segment Every Thing | Ronghang Hu, Piotr Dollar, Kaiming He, Trevor Darrell, Ross Girshick | CVPR 2018 | paper |
No. | Figure | Title | Authors | Pub. | Links |
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9 | Predicting Deeper into the Future of Semantic Segmentation | Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek and Yann LeCun | ICCV 2017 | paper project page |
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8 | Semantic Segmentation with Reverse Attention | Qin Huang, Chunyang Xia, Wuchi Hao, Siyang Li, Ye Wang, Yuhang Song and C.-C. Jay Kuo | BMVC 2017 | paper code |
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7 | Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade | Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang | CVPR 2017 | paper |
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6 | Object Region Mining with Adversarial Erasing: A Simple Classification toSemantic Segmentation Approach | Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan | CVPR 2017 | paper ⭐ |
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5 | Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes | Tobias Pohlen, Alexander Hermans, Markus Mathias, Bastian Leibe | CVPR 2017 | paper github |
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4 | Fully Convolutional Instance-aware Semantic Segmentation | Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, Yichen Wei | CVPR 2017 | paper github |
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3 | Dilated Residual Networks | Fisher Yu, Vladlen Koltun, Thomas Funkhouser | CVPR 2017 | paper github |
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2 | Pyramid Scene Parsing Network | Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia | CVPR 2017 | paper github |
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1 | RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation | Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid | CVPR 2017 | paper github |
No. | Figure | Title | Authors | Pub. | Links |
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3 | Attention to Scale: Scale-aware Semantic Image Segmentation | Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu | CVPR 2016 | paper DeepLab ⭐ |
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2 | Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation | Golnaz Ghiasi, Charless C. Fowlkes | ECCV 2016 | paper github |
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1 | Instance-sensitive Fully Convolutional Networks | Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun | ECCV 2016 | paper |
No. | Figure | Title | Authors | Pub. | Links |
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5 | Learning Deconvolution Network for Semantic Segmentation | Heonwoo Noh, Seunghoon Hong, Bohyung Han | ICCV 2015 | paper |
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4 | Conditional Random Fields as Recurrent Neural Networks | Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, ZhiZhong Su, Dalong Du, Chang Huang, and Philip H. S. Torr | ICCV 2015 | paper |
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3 | Learning to Refine Object Segments | Pedro O. Pinheiro , Tsung-Yi Lin , Ronan Collobert, Piotr Doll ́ar | arXiv 1603.08695 | paper |
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2 | Learning to Segment Object Candidates | Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar | NIPS 2015 | paper |
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1 | Fully Convolutional Networks for Semantic Segmentation | Jonathan Long, Evan Shelhamer, Trevor Darrell | CVPR 2015 | paper ⭐ |