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Ze-Chao Li

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Oct 2026

Local Feature Enhancement of dino.txt for Training-Free Open-Vocabulary Semantic Segmentation.

Open-vocabulary semantic segmentation aims to establish dense pixel-wise correspondences between images and open-ended semantic categories. While most existing methods build upon CLIP's image-text alignment capability, they require substantial architectural modifications to adapt image-level understanding to pixel-leve...

Cheng He, Shi-Yu Xuan, Ze-Chao Li · 0 citations
2026

Preserving Fairness in Knowledge Transfer for Exemplar-Free Class-Incremental Learning via Semantic Propagation

As a paradigm in continual learning, class incremental learning (CIL) aims to assimilate tasks with mutually exclusive label spaces in sequence while preserving previously established knowledge. Mitigating forgetting in CIL fundamentally relies on transferring knowledge across tasks. A straightforward exemplar-based ap...

Fan-Kang Xu, Lu Jin, Yan-Peng Sun et al. · 0 citations

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