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20212026
most citedSegment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

206 citations · 223 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.MM2026

SAMOT: State-Aware Step Modulation and Optimal Transport Matching for Audio-Visual Instance Segmentation

Kai Peng, Yunzhe Shen, Miao Zhang +5

Audio-Visual Instance Segmentation (AVIS) aims to simultaneously classify, segment, and track sounding objects within video sequences. Unlike Audio-Visual Semantic Segmentation (AV…

cs.MM2026

Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation

Leiye Liu, Miao Zhang, Jiahong Jiang +7

Audio-visual instance segmentation (AVIS) requires accurately identifying and tracking individual sounding objects with pixel-level masks. Existing methods struggle to match overla…

cs.LG2026

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Jialong Zhong, Tingwei Liu, Baokun Yue +7

Multimodal survival analysis utilizing whole slide images (WSIs) and genomic profiles is fundamental for cancer prognosis. Recently, state-space models like Mamba have emerged as p…

cs.CV2026

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

Yue Feng, Jingjing Li, Qijia Lu +9

The rapid advancement of AI-driven video generation has transformed content creation, while simultaneously increasing the risk of misinformation through localized manipulations in…

cs.CV2026

Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs

Jincai Huang, Shihao Zou, Yuchen Guo +5

Surgical scene understanding is a cornerstone of computer-assisted intervention. While recent advances, particularly in surgical image segmentation, have driven progress, real-worl…

cs.CV2026

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…