1 citations · 1 across the 12 of their papers we have counts for
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Text as Illumination: Spatial Contrastive Retinex Learning for Language-guided Medical Image Segmentation
Jian Shi, Cheng Zhen, Pingping Zhang +6
Language-guided Medical Image Segmentation (LMIS) has shown great potential to improve the delineation of anatomical structures and lesions by integrating clinical textual informat…
Towards Large Model Feature Coding
Youwei Pang, Changsheng Gao, Dong Liu +2
Large models have delivered remarkable performance across a wide range of perception and generation tasks, yet practical deployment is increasingly constrained by computational and…
Selective Noise Suppression and Discriminative Mutual Interaction for Robust Audio-Visual Segmentation
Kai Peng, Yunzhe Shen, Miao Zhang +6
The ability to capture and segment sounding objects in dynamic visual scenes is crucial for the development of Audio-Visual Segmentation (AVS) tasks. While significant progress has…
SAM3-I: Segment Anything with Instructions
Jingjing Li, Yue Feng, Yuchen Guo +10
Segment Anything Model 3 (SAM3) advances open-vocabulary segmentation through promptable concept segmentation, enabling users to segment all instances associated with a given conce…
Frequency-Domain Decomposition and Recomposition for Robust Audio-Visual Segmentation
Yunzhe Shen, Kai Peng, Leiye Liu +5
Audio-visual segmentation (AVS) plays a critical role in multimodal machine learning by effectively integrating audio and visual cues to precisely segment objects or regions within…
DefMamba: Deformable Visual State Space Model
Leiye Liu, Miao Zhang, Jihao Yin +4
Recently, state space models (SSM), particularly Mamba, have attracted significant attention from scholars due to their ability to effectively balance computational efficiency and…