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cs.CV2023★ 1 cited
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut
Yingjie Niu, Ming Ding, Maoning Ge +3
Transformer-based models have gained popularity in the field of natural language processing (NLP) and are extensively utilized in computer vision tasks and multi-modal models such…
cs.CV2023
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data
Na Dong, Yongqiang Zhang, Mingli Ding +1
Real-world data tends to follow a long-tailed distribution, where the class imbalance results in dominance of the head classes during training. In this paper, we propose a frustrat…