Author

Yao Hu

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Preprint Sep 2026

Revisit to Segment: Working Memory Distillation for Reasoning Segmentation

Multimodal large language models (MLLMs) have approached image segmentation by reasoning about visual content and predicting target locations. Their generated responses contain reasoning traces and localization proposals that can serve as working memory when revisiting the same image and query. Our exploration reveals...

Ci-Lin Yan, Yilun Qiu, Wan-Yang Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

RegRet: Enhancing Region-Level Retrieval in Large Multimodal Models

RegRet is presented, an LMM-based Region-level Retrieval framework that enhances the regional representations without compromising overall global retrieval performance and designs a multi-stage training pipeline that includes detailed localized captioning and regional contrastive learning tasks.

Xun Liang, Hong-Hui Yang, Weihang Pan et al. · 0 citations