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most citedIntegrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning

5 citations · 5 across the 5 of their papers we have counts for

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cs.CV2022

DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention

Fenglin Liu, Xian Wu, Shen Ge +4

Vision-and-language (V-L) tasks require the system to understand both vision content and natural language, thus learning fine-grained joint representations of vision and language (…