Author

Zelin Peng

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Sep 2026

HyperCLIP++: Fine-Tuning CLIP for Open-Vocabulary Semantic Segmentation in Hyperbolic Space.

CLIP, a foundational vision-language model, has emerged as a powerful tool for open-vocabulary semantic segmentation. While freezing CLIP's text encoder is known to preserve its generalization capability, recent studies show that fine-tuning both CLIP's text and image encoders jointly significantly enhances segmentatio...

Ze-Lin Peng, Zheng-Qin Xu, Chang-Song Wen et al. · IEEE Transactions on Pattern... · 0 citations

Jun 2026

Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression

Inspired by render-based compression, this work renders textual chains of thought into images, extract visual features, and construct a discrete latent vocabulary via clustering-based fine-tuning, and concludes that discrete latent tokens provide a controllable and interpretable basis for efficient latent reasoning.

Shuochen Chang, Qingyang Liu, Shaobo Wang et al. · arXiv.org · 0 citations