Abstract is missing.
- tSF: Transformer-Based Semantic Filter for Few-Shot LearningJinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang. 1-19 [doi]
- Adversarial Feature Augmentation for Cross-domain Few-Shot ClassificationYanxu Hu, Andy J. Ma. 20-37 [doi]
- Constructing Balance from Imbalance for Long-Tailed Image RecognitionYue Xu, Yong-Lu Li, Jiefeng Li, Cewu Lu. 38-56 [doi]
- On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and BeyondYuzhe Yang, Hao Wang 0014, Dina Katabi. 57-75 [doi]
- Few-Shot Video Object DetectionQi Fan, Chi-Keung Tang, Yu-Wing Tai. 76-98 [doi]
- Worst Case Matters for Few-Shot RecognitionMinghao Fu, Yun-Hao Cao, Jianxin Wu 0001. 99-115 [doi]
- Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image ClassificationKai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny. 116-132 [doi]
- Doubly Deformable Aggregation of Covariance Matrices for Few-Shot SegmentationZhitong Xiong, Haopeng Li, Xiao Xiang Zhu. 133-150 [doi]
- Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot SegmentationXinyu Shi, Dong Wei 0004, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma 0002, Yefeng Zheng 0001. 151-168 [doi]
- Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-LearningXingping Dong, Jianbing Shen, Ling Shao 0001. 169-186 [doi]
- CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action RecognitionShreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach. 187-203 [doi]
- Few-Shot Class-Incremental Learning for 3D Point Cloud ObjectsTownim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman. 204-220 [doi]
- Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task DistributionsZhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao. 221-238 [doi]
- DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and AlignmentZiyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng 0001, Luowei Zhou, Lu Yuan, Ahmed Hassan Awadallah, Zhangyang Wang. 239-256 [doi]
- Learning Instance and Task-Aware Dynamic Kernels for Few-Shot LearningRongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi. 257-274 [doi]
- Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language EmbeddingQuande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang. 275-292 [doi]
- Few-Shot Classification with Contrastive LearningZhanyuan Yang, Jinghua Wang, Yingying Zhu 0001. 293-309 [doi]
- Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object DetectionShan Zhang, Naila Murray, Lei Wang 0001, Piotr Koniusz. 310-328 [doi]
- Self-Promoted Supervision for Few-Shot TransformerBowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo. 329-347 [doi]
- Few-Shot Object Counting and DetectionThanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai. 348-365 [doi]
- Rethinking Few-Shot Object Detection on a Multi-Domain BenchmarkKibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer. 366-382 [doi]
- Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned RepresentationsWentao Chen, Zhang Zhang 0001, Wei Wang 0115, Liang Wang 0001, Zilei Wang, Tieniu Tan. 383-399 [doi]
- Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object DetectionTianXue Ma, Mingwei Bi, Jian Zhang, Wang Yuan, Zhizhong Zhang, Yuan Xie 0006, Shouhong Ding, Lizhuang Ma. 400-416 [doi]
- Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image SegmentationHuisi Wu, Fangyan Xiao, Chongxin Liang. 417-434 [doi]
- Improving Few-Shot Learning Through Multi-task Representation Learning TheoryQuentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard. 435-452 [doi]
- Tree Structure-Aware Few-Shot Image Classification via Hierarchical AggregationMin Zhang, Siteng Huang, Wenbin Li, Donglin Wang. 453-470 [doi]
- Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal AlignmentsKhoi Nguyen, Quoc Huy Tran, Khoi Duc Nguyen, Binh-Son Hua, Rang Nguyen. 471-487 [doi]
- Temporal and Cross-modal Attention for Audio-Visual Zero-Shot LearningOtniel-Bogdan Mercea, Thomas Hummel 0001, A. Sophia Koepke, Zeynep Akata. 488-505 [doi]
- HM: Hybrid Masking for Few-Shot SegmentationSeonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic 0001, Muhammad Haris Khan, Mubbasir Kapadia. 506-523 [doi]
- TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot LearningHaoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang 0008, Jianguo Zhang 0001. 524-540 [doi]
- Kernel Relative-prototype Spectral Filtering for Few-Shot LearningTao Zhang 0074, Wu Huang. 541-557 [doi]
- "This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language RepresentationsNiv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon. 558-577 [doi]
- CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NASZixuan Zhou, Xuefei Ning, Yi Cai 0003, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang 0002. 578-594 [doi]
- Streamable Neural FieldsJunwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park. 595-612 [doi]
- Gradient-Based Uncertainty for Monocular Depth EstimationJulia Hornauer, Vasileios Belagiannis. 613-630 [doi]
- Online Continual Learning with Contrastive Vision TransformerZhen Wang 0030, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao. 631-650 [doi]
- CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionTaeho Kim 0002, Yongin Kwon, Jemin Lee, Taeho Kim 0001, Sangtae Ha. 651-667 [doi]
- EAutoDet: Efficient Architecture Search for Object DetectionXiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan. 668-684 [doi]
- A Max-Flow Based Approach for Neural Architecture SearchChao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li. 685-701 [doi]
- OccamNets: Mitigating Dataset Bias by Favoring Simpler HypothesesRobik Shrestha, Kushal Kafle, Christopher Kanan. 702-721 [doi]
- ERA: Enhanced Rational ActivationsMartin Trimmel, Mihai Zanfir, Richard I. Hartley, Cristian Sminchisescu. 722-738 [doi]
- Convolutional Embedding Makes Hierarchical Vision Transformer StrongerCong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu. 739-756 [doi]