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Angular Isotonic Loss Guided Multi-Layer Integration for Few-Shot Fine-Grained Image Classification.

, , , , and . IEEE Trans. Image Process., (2024)

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Prototype-Based Layered Federated Cross-Modal Hashing., , , , , and . ICASSP, page 1-2. IEEE, (2023)Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data., , , , , and . AAAI, page 4263-4271. AAAI Press, (2022)TEACH: Attention-Aware Deep Cross-Modal Hashing., , , , and . ICMR, page 376-384. ACM, (2021)Fast Scalable Supervised Hashing., , , , , and . SIGIR, page 735-744. ACM, (2018)Fine-Grained Hashing With Double Filtering., , , , and . IEEE Trans. Image Process., (2022)Angular Isotonic Loss Guided Multi-Layer Integration for Few-Shot Fine-Grained Image Classification., , , , and . IEEE Trans. Image Process., (2024)Federated Class-Incremental Learning with Prompting., , , , , , and . CoRR, (2023)High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding., , , and . WWW, page 2900-2909. ACM / IW3C2, (2021)A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps., , , , , and . ACM Multimedia, page 1694-1702. ACM, (2019)POLISH: Adaptive Online Cross-Modal Hashing for Class Incremental Data., , , , , and . WWW, page 4470-4478. ACM, (2024)