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Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning.

, , , , , , , and . IEEE Trans. Multim., (2024)

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Can Partial Strong Labels Boost Multi-label Object Recognition?, , , , , and . CoRR, (2015)Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt., , , , , , , , and . AAAI, page 3639-3647. AAAI Press, (2024)Representing Sets of Instances for Visual Recognition., , and . AAAI, page 2237-2243. AAAI Press, (2016)Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors., , and . ICCV, page 3525-3533. IEEE Computer Society, (2017)L2-loss twin support vector machine for classification., , and . BMEI, page 1265-1269. IEEE, (2012)tSF: Transformer-Based Semantic Filter for Few-Shot Learning., , , , , , , , and . ECCV (20), volume 13680 of Lecture Notes in Computer Science, page 1-19. Springer, (2022)CSTrans: Correlation-guided Self-Activation Transformer for Counting Everything., and . Pattern Recognit., (2024)Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection., , , , , , , , and . CVPR, page 22883-22892. IEEE, (2024)Exploit Bounding Box Annotations for Multi-Label Object Recognition., , , , , and . CVPR, page 280-288. IEEE Computer Society, (2016)Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision., , , , , , , , , and 1 other author(s). ACM Multimedia, page 6318-6326. ACM, (2022)