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cs.CV2025
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
Huaiyuan Qin, Muli Yang, Siyuan Hu +4
Self-supervised learning (SSL) conventionally relies on the instance consistency paradigm, assuming that different views of the same image can be treated as positive pairs. However…
cs.CV2025
Object-level Correlation for Few-Shot Segmentation
Chunlin Wen, Yu Zhang, Jie Fan +5
Few-shot semantic segmentation (FSS) aims to segment objects of novel categories in the query images given only a few annotated support samples. Existing methods primarily build th…