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CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning.

, , , , , and . ACM Multimedia, page 92-101. ACM, (2020)

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A Domain Robust Approach For Image Dataset Construction., , , , and . ACM Multimedia, page 212-216. ACM, (2016)Exploiting Web Images for Multi-Output Classification: From Category to Subcategories., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (7): 2348-2360 (2020)Knowledge memorization and generation for action recognition in still images., , , and . Pattern Recognit., (2021)Robust learning from noisy web data for fine-Grained recognition., , , , , and . Pattern Recognit., (2023)Co-mining: Mining informative samples with noisy labels., , , , and . Signal Process., (2023)Generative Adversarial and Self-Attention Based Fine-Grained Cross-Media Retrieval., , , and . ICVISP, page 2:1-2:8. ACM, (2020)FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network., , , , , and . CoRR, (2023)Hierarchical Graph Pattern Understanding for Zero-Shot VOS., , , , , and . CoRR, (2023)Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation., , and . IEEE Trans. Image Process., (2023)Attention Map Guided Transformer Pruning for Edge Device., , , , , and . CoRR, (2023)