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Preprint Sep 2026

SegBanana: Steering Unified Multimodal Models into Medical Segmenters

SegBanana is proposed, to the authors' knowledge, the first agentic visual generation framework for training-free medical image segmentation and builds on a frozen UMM as the core generative model, augmented with Anatomy-Aware Knowledge Retrieval and Comparative Quality Critique to unlock its potential segmentation cap...

Xiao-Ye Liang, Ye Yan, Ming-Ze Yin et al. · 0 citations
Aug 2026

P4VC: Positive Perturbation based Perceptual Preprocessing Framework for Video Compression.

P4VC is introduced, a Positive Perturbation based Perceptual Preprocessing framework that generates adaptive perturbations before compression to enhance the rate-perception trade-off and step beyond conventional frameworks and focus on preprocessing ahead of compression.

Mai Xu, Yi-Chen Guo, Shang-Mou Zhang et al. · 0 citations

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