1 citations · 2 across the 11 of their papers we have counts for
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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 +6
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…
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation
Lanhu Wu, Miao Zhang, Yongri Piao +4
Automatic and precise medical image segmentation (MIS) is of vital importance for clinical diagnosis and analysis. Current MIS methods mainly rely on the convolutional neural netwo…