Skip to content

Latest commit

 

History

History
470 lines (349 loc) · 26.1 KB

cv_other_tasks.md

File metadata and controls

470 lines (349 loc) · 26.1 KB

Other tasks

2023

  • CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations. [pdf]

    • Qiming Xia, Jinhao Deng, Chenglu Wen, Hai Wu, Shaoshuai Shi, Xin Li, Cheng Wang , CVPR 2023
  • SVFormer: Semi-supervised Video Transformer for Action Recognition. [pdf]

    • Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang, CVPR 2023
  • Semi-Supervised Parametric Real-World Image Harmonization. [project page]

    • Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, and Eli Shechtman. CVPR 2023
  • Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank. [project page]

    • Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, and Yunsong Li. CVPR 2023
  • RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension. [project page]

    • Jiamu Sun, Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Guannan Jiang, Zhiyu Wang, and Rongrong Ji. 2023
  • TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition. [project page]

    • Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, and Mubarak Shah. 2023
  • Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting. [project page]

    • Wei Lin, and Antoni B. Chan. 2023
  • Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. [project page]

    • Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, and Jie Chen. 2023
  • CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. [project page]

    • Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, and Liqiang Nie.
  • A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation. [project page]

    • Congqi Cao, Yue Lu, Peng Wang, and Yanning Zhang. 2023
  • Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need. [project page]

    • Tong Wei, and Kai Gan. 2023
  • Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. [project page]

    • Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, and Jieping Ye. 2023
  • Semi-Supervised Domain Adaptation With Source Label Adaptation. [project page]

    • Yu-Chu Yu, and Hsuan-Tien Lin. 2023
  • Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination. [project page]

    • Zimeng Zhao, Binghui Zuo, Zhiyu Long, and Yangang Wang. 2023

2022

  • Semi-supervised Single-view 3D Reconstruction via Prototype Shape Priors. [pdf]

    • Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang, ECCV 2022
  • Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset. [pdf]

    • Yanjie Ze, Xiaolong Wang. Neurips 2022
  • PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. [pdf]

    • Changbin Li, Suraj Kothawade, Feng Chen, Rishabh Iyer. ICML 2022
  • HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning. [pdf]

    • Andrey Zhmoginov, Mark Sandler, Max Vladymyrov. ICML 2022
  • End-to-End Semi-Supervised Learning for Video Action Detection. [pdf] [code]

    • Akash Kumar, Yogesh Singh Rawat. CVPR 2022
  • Learning From Temporal Gradient for Semi-Supervised Action Recognition. [pdf]

    • Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li. CVPR 2022
  • Semi-Weakly-Supervised Learning of Complex Actions From Instructional Task Videos. [pdf]

    • Yuhan Shen, Ehsan Elhamifar. CVPR 2022
  • BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation. [pdf]

    • Wenqiao Zhang, Lei Zhu, James Hallinan, Andrew Makmur, Shengyu Zhang, Qingpeng Cai, Beng Chin Ooi. CVPR 2022
  • Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer. [pdf]

    • Fushun Zhu, Shan Zhao, Peng Wang, Hao Wang, Hua Yan, Shuaicheng Liu. CVPR 2022
  • FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering. [pdf]

    • Yingda Yin, Yingcheng Cai, He Wang, Baoquan Chen. CVPR 2022
  • Semi-Supervised Few-Shot Learning via Multi-Factor Clustering. [pdf]

    • Jie Ling, Lei Liao, Meng Yang, Jia Shuai. CVPR 2022
  • Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin. [pdf] [code]

    • Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao. CVPR 2022
  • Semi-Supervised Video Paragraph Grounding With Contrastive Encoder. [pdf]

    • Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao, Heng Tao Shen. CVPR 2022
  • End-to-End Semi-Supervised Learning for Video Action Detection. [pdf]

    • Akash Kumar, Yogesh Singh Rawat. CVPR 2022
  • Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition. [pdf]

    • Yinghao Xu, Fangyun Wei, Xiao Sun, Ceyuan Yang, Yujun Shen, Bo Dai, Bolei Zhou, Stephen Lin. CVPR 2022
  • Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. [pdf]

    • Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers. CVPR 2022
  • Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. [pdf]

    • Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim. CVPR 2022

2021

  • CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation. [pdf]

    • Ankit Singh. NeurIPS 2021
  • RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. [pdf] [code]

    • Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh Iyer. NeurIPS 2021
  • Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. [pdf] [code]

    • Angtian Wang, Shenxiao Mei, Alan Yuille, Adam Kortylewski. NeurIPS 2021
  • Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning. [pdf]

    • Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li. ICCV 2021
  • Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning. [pdf]

    • Michalis Lazarou, Tania Stathaki, Yannis Avrithis. ICCV 2021
  • Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation. [pdf]

    • Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim. ICCV 2021
  • Semi-Supervised Active Learning With Temporal Output Discrepancy. [pdf]

    • Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou. ICCV 2021
  • Multiview Pseudo-Labeling for Semi-Supervised Learning From Video. [pdf]

    • Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer. ICCV 2021
  • ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. [pdf]

    • Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu. ICCV 2021
  • Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning. [pdf]

    • Kai Huang, Jie Geng, Wen Jiang, Xinyang Deng, Zhe Xu. ICCV 2021
  • Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo. [pdf]

    • Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim. ICCV 2021
  • SemiHand: Semi-Supervised Hand Pose Estimation With Consistency. [pdf]

    • Linlin Yang, Shicheng Chen, Angela Yao. ICCV 2021
  • Spatial Uncertainty-Aware Semi-Supervised Crowd Counting. [pdf]

    • Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng. ICCV 2021
  • An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation. [pdf]

    • Rongchang Xie, Chunyu Wang, Wenjun Zeng, Yizhou Wang. ICCV 2021
  • Semi-Supervised Visual Representation Learning for Fashion Compatibility. [pdf]

    • Ambareesh Revanur, Vijay Kumar, Deepthi Sharma ACM RecSys 2021
  • Semi-Supervised Action Recognition with Temporal Contrastive Learning. [pdf] [code]

    • Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das. CVPR 2021
  • SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama. [pdf]

    • Phi Vu Tran. CVPR 2021
  • Semi-Supervised Video Deraining With Dynamical Rain Generator. [pdf]

    • Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng. CVPR 2021
  • Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. [pdf]

    • Huaibo Huang, Aijing Yu, Ran He. CVPR 2021
  • ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. [pdf]

    • Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu. CVPR 2021
  • Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. [pdf]

    • Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao. CVPR 2021
  • Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms. [pdf]

    • Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang. CVPR 2021
  • MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera. [pdf] [code]

    • Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang. CVPR 2021
  • Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. [pdf]

    • Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu. CVPR 2021
  • More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. [pdf]

    • Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song. CVPR 2021
  • Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time. [pdf]

    • Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, Xiaolong Wang. CVPR 2021
  • OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. [pdf]

    • Kuniaki Saito, Donghyun Kim, Kate Saenko. Preprint 2021
  • More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. [code]

    • Ayan Kumar Bhunia, Pinaki nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song. CVPR 2021
  • Semi-supervised Keypoint Localization. [pdf]

    • Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh. ICLR 2021
  • Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. [pdf]

    • Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang. ICLR 2021

2020

  • Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. [pdf]

    • Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan O. Arik, Larry S. Davis, Tomas Pfister. ECCV 2020
  • Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning. [pdf]

    • Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa. ECCV 2020
  • Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. [pdf]

    • Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei. ECCV 2020
  • Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation. [pdf]

    • Da Li, Timothy Hospedales. ECCV 2020
  • Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. [pdf]

    • Taekyung Kim, Changick Kim. ECCV 2020
  • Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction. [pdf]

    • Minchul Shin. ECCV 2020
  • Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition. [pdf]

    • Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng. ECCV 2020
  • Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation. [pdf] [code]

    • Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang. ECCV 2020
  • DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data. [pdf] [code]

    • Aljaž Božič, Michael Zollhöfer, Christian Theobalt, Matthias Nießner. CVPR 2020
  • Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features. [pdf]

    • Xiang Li, Yasushi Makihara, Chi Xu, Yasushi Yagi, Mingwu Ren. CVPR 2020
  • Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning. [pdf]

    • Wending Yan, Aashish Sharma, Robby T. Tan. CVPR 2020
  • TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning. [pdf]

    • Zhongjie Yu, Lin Chen, Zhongwei Cheng, Jiebo Luo. CVPR 2020
  • Data-Efficient Semi-Supervised Learning by Reliable Edge Mining. [pdf]

    • Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, Shuchang Zhou. CVPR 2020
  • Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation. [pdf]

    • Rahul Mitra, Nitesh B. Gundavarapu, Abhishek Sharma, Arjun Jain. CVPR 2020
  • A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection. [pdf]

    • Zhihao Chen, Lei Zhu, Liang Wan, Song Wang, Wei Feng, Pheng-Ann Heng. CVPR 2020
  • Semi-Supervised Learning for Few-Shot Image-to-Image Translation. [pdf] [code]

    • Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan. CVPR 2020
  • 3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior. [pdf]

    • Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li. CVPR 2020
  • A Semi-Supervised Assessor of Neural Architectures. [pdf]

    • Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu. CVPR 2020
  • FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. [pdf]

    • Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang. CVPR 2020
  • Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection. [pdf]

    • Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng. CVPR 2020
  • Generalized Product Quantization Network for Semi-Supervised Image Retrieval. [pdf]

    • Young Kyun Jang, Nam Ik Cho. CVPR 2020
  • From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement. [pdf]

    • Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, Jiaying Liu. CVPR 2020
  • Deep Semi-Supervised Anomaly Detection. [pdf] [code]

    • Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft. ICLR 2020

2019

  • Learning to Self-Train for Semi-Supervised Few-Shot Classification. [pdf] [code]

    • Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele. NeurIPS 2019
  • Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition. [pdf] [code]

    • Xuesong Niu, Hu Han, Shiguang Shan, Xilin Chen. NeurIPS 2019
  • Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer. [pdf]

    • Jingtan Piao, Chen Qian, Hongsheng Li. ICCV 2019
  • SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning. [pdf]

    • Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, Junsong Yuan. ICCV 2019
  • Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. [pdf]

    • Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong. ICCV 2019
  • Semi-Supervised Skin Detection by Network With Mutual Guidance. [pdf]

    • Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang. ICCV 2019
  • MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence. [pdf]

    • Yuan Yao, Yasamin Jafarian, Hyun Soo Park. ICCV 2019
  • 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. [pdf]

    • Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli. CVPR 2019
  • Semi-Supervised Transfer Learning for Image Rain Removal. [pdf]

    • Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu. CVPR 2019
  • KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing. [pdf]

    • Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li. CVPR 2019

2018

  • Semi-Supervised Generative Adversarial Hashing for Image Retrieval. [pdf]

    • Guan'an Wang, Qinghao Hu, Jian Cheng, Zengguang Hou. ECCV 2018
  • Improving Landmark Localization With Semi-Supervised Learning. [pdf]

    • Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, Jan Kautz. CVPR 2018
  • Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. [pdf]

    • Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang. AAAI 2018

2017

  • Semi-Supervised Deep Learning for Monocular Depth Map Prediction. [pdf]
    • Yevhen Kuznietsov, Jorg Stuckler, Bastian Leibe. CVPR 2017

2016

  • SemiContour: A Semi-Supervised Learning Approach for Contour Detection. [pdf]

    • Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang. CVPR 2016
  • Semi-Supervised Vocabulary-Informed Learning [pdf]

    • Yanwei Fu, Leonid Sigal. CVPR 2016

2015

  • Adaptively Unified Semi-Supervised Dictionary Learning With Active Points. [pdf]

    • Xiaobo Wang, Xiaojie Guo, Stan Z. Li. ICCV 2015
  • Semi-Supervised Zero-Shot Classification With Label Representation Learning. [pdf]

    • Xin Li, Yuhong Guo, Dale Schuurmans. ICCV 2015

2014

  • Semi-Supervised Coupled Dictionary Learning for Person Re-identification. [pdf]

    • Xiao Liu, Mingli Song, Dacheng Tao, Xingchen Zhou, Chun Chen, Jiajun Bu. CVPR 2014
  • A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. [pdf]

    • Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang. AAAI 2014

2013

  • Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. [pdf]

    • Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang. ICCV 2013
  • Semi-supervised Learning with Constraints for Person Identification in Multimedia Data. [pdf]

    • Martin Bauml, Makarand Tapaswi, Rainer Stiefelhagen. CVPR 2013

2010-2000

  • Multimodal semi-supervised learning for image classification. [pdf]

  • Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid. CVPR 2010

  • Semi-supervised Discriminant Analysis. [pdf]

    • Deng Cai, Xiaofei He, Jiawei Han. ICCV 2007