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AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition.

, , , , , , and . ICME, page 1-6. IEEE, (2022)

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Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning., , , , and . CoRR, (2023)Coarse to Fine: Multi-label Image Classification with Global/Local Attention., , , , , and . CoRR, (2020)Visual Grounding Via Accumulated Attention., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (3): 1670-1684 (2022)Variational Continual Test-Time Adaptation., , , , , , and . CoRR, (2024)Disentangling Semantic-to-visual Confusion for Zero-shot Learning., , , , and . CoRR, (2021)Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks., , , , and . IEEE Trans. Multim., 21 (8): 1971-1981 (2019)DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit., , , , , and . BICS, volume 10989 of Lecture Notes in Computer Science, page 120-129. Springer, (2018)Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing., , , , , and . BMVC, page 339. BMVA Press, (2021)Associating Multi-Scale Receptive Fields For Fine-Grained Recognition., , , , , and . ICIP, page 1851-1855. IEEE, (2020)Multi-semantic hypergraph neural network for effective few-shot learning., , , , , , , and . Pattern Recognit., (October 2023)