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cs.CV2023
Background Clustering Pre-training for Few-shot Segmentation
Zhimiao Yu, Tiancheng Lin, Yi Xu
Recent few-shot segmentation (FSS) methods introduce an extra pre-training stage before meta-training to obtain a stronger backbone, which has become a standard step in few-shot le…
cs.CV2023
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment
Hongyu Hu, Tiancheng Lin, Jie Wang +2
Large-scale vision-language models (VLMs), e.g., CLIP, learn broad visual concepts from tedious training data, showing superb generalization ability. Amount of prompt learning meth…