Abstract is missing.
- Cross-domain Ensemble Distillation for Domain GeneralizationKyungmoon Lee, Sungyeon Kim, Suha Kwak. 1-20 [doi]
- Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy LabelsGanlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu 0036, Yizhou Yu. 21-37 [doi]
- Hyperspherical Learning in Multi-Label ClassificationBo Ke, Yunquan Zhu, Mengtian Li, Xiujun Shu, Ruizhi Qiao, Bo Ren. 38-55 [doi]
- When Active Learning Meets Implicit Semantic Data AugmentationZhuangzhuang Chen, Jin Zhang 0013, Pan Wang, Jie Chen 0027, Jianqiang Li 0001. 56-72 [doi]
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual RecognitionChangyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao 0001. 73-91 [doi]
- Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution GeneralizationJiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua 0001, Hanwang Zhang. 92-109 [doi]
- Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly DetectionGaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt. 110-128 [doi]
- Tracking by Associating ClipsSanghyun Woo, KwanYong Park, Seoung Wug Oh, In-So Kweon, Joon-Young Lee. 129-145 [doi]
- RealPatch: A Statistical Matching Framework for Model Patching with Real SamplesSara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto. 146-162 [doi]
- Background-Insensitive Scene Text Recognition with Text Semantic SegmentationLiang Zhao, Zhenyao Wu, Xinyi Wu, Greg Wilsbacher, Song Wang 0002. 163-182 [doi]
- Semantic Novelty Detection via Relational ReasoningFrancesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi. 183-200 [doi]
- Improving Closed and Open-Vocabulary Attribute Prediction Using TransformersKhoi Pham, Kushal Kafle, Zhe Lin 0001, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava. 201-219 [doi]
- Training Vision Transformers with only 2040 ImagesYun-Hao Cao, Hao Yu, Jianxin Wu 0001. 220-237 [doi]
- Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object DetectionSanghyun Woo, KwanYong Park, Seoung Wug Oh, In-So Kweon, Joon-Young Lee. 238-258 [doi]
- TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNsShantanu Jaiswal, Basura Fernando, Cheston Tan. 259-276 [doi]
- Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product ExemplarsHao Chen 0052, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao 0001. 277-293 [doi]
- Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source DomainPiyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer 0003. 294-309 [doi]
- Photo-realistic Neural Domain RandomizationSergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon. 310-327 [doi]
- Wave-ViT: Unifying Wavelet and Transformers for Visual Representation LearningTing Yao, Yingwei Pan, Yehao Li, Chong-Wah Ngo, Tao Mei 0001. 328-345 [doi]
- Tailoring Self-Supervision for Supervised LearningWonJun Moon, Ji-Hwan Kim, Jae-Pil Heo. 346-364 [doi]
- Difficulty-Aware Simulator for Open Set RecognitionWonJun Moon, Jun-Ho Park, Hyun Seok Seong, Cheol-Ho Cho, Jae-Pil Heo. 365-381 [doi]
- Few-Shot Class-Incremental Learning from an Open-Set PerspectiveCan Peng, Kun Zhao 0001, Tianren Wang, Meng Li, Brian C. Lovell. 382-397 [doi]
- FOSTER: Feature Boosting and Compression for Class-Incremental LearningFu-Yun Wang, Da-Wei Zhou 0001, Han-Jia Ye, De-Chuan Zhan. 398-414 [doi]
- Visual Knowledge TracingNeehar Kondapaneni, Pietro Perona, Oisin Mac Aodha. 415-431 [doi]
- S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental LearningJayateja Kalla, Soma Biswas. 432-448 [doi]
- Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention MechanismYangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu. 449-465 [doi]
- VSA: Learning Varied-Size Window Attention in Vision TransformersQiming Zhang, Yufei Xu, Jing Zhang 0037, Dacheng Tao. 466-483 [doi]
- Unbiased Manifold Augmentation for Coarse Class SubdivisionBaoming Yan, Ke Gao, Bo Gao, Lin Wang, Jiang Yang, Xiaobo Li. 484-499 [doi]
- DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set RecognitionMatej Grcic, Petra Bevandic, Sinisa Segvic. 500-517 [doi]
- Rethinking Confidence Calibration for Failure PredictionFei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu. 518-536 [doi]
- Uncertainty-Guided Source-Free Domain AdaptationSubhankar Roy, Martin Trapp 0001, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci 0001, Arno Solin. 537-555 [doi]
- Should All Proposals Be Treated Equally in Object Detection?Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen 0001, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu 0001, Nuno Vasconcelos. 556-572 [doi]
- ViP: Unified Certified Detection and Recovery for Patch Attack with Vision TransformersJunbo Li, Huan Zhang, Cihang Xie. 573-587 [doi]
- incDFM: Incremental Deep Feature Modeling for Continual Novelty DetectionAmanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo. 588-604 [doi]
- IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction RecognitionYunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey 0001, Jun Liu 0036. 605-622 [doi]
- PRIME: A Few Primitives Can Boost Robustness to Common CorruptionsApostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard. 623-640 [doi]
- Rotation Regularization Without RotationTakumi Kobayashi 0001. 641-657 [doi]
- Towards Accurate Open-Set Recognition via Background-Class RegularizationWonwoo Cho, Jaegul Choo. 658-674 [doi]
- In Defense of Image Pre-Training for Spatiotemporal RecognitionXianhang Li, Huiyu Wang, Chen Wei 0005, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie. 675-691 [doi]
- Augmenting Deep Classifiers with Polynomial Neural NetworksGrigorios G. Chrysos, Markos Georgopoulos, Jiankang deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar. 692-716 [doi]
- Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label MiscorrectionSeong Min Kye, KwangHee Choi, Joonyoung Yi, Buru Chang. 717-738 [doi]
- Online Task-free Continual Learning with Dynamic Sparse Distributed MemoryJulien Pourcel, Ngoc-Son Vu, Robert M. French. 739-756 [doi]