5 citations · 8 across the 13 of their papers we have counts for
4 papers · 1 filter
MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt
Yuhao Wang, Xuehu Liu, Tianyu Yan +4
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complementary image information from different modalities. Recently, large-scale pre-trai…
Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection
Shixuan Gao, Pingping Zhang, Tianyu Yan +1
Salient Object Detection (SOD) aims to identify and segment the most prominent objects in images. Advanced SOD methods often utilize various Convolutional Neural Networks (CNN) or…
MAS-SAM: Segment Any Marine Animal with Aggregated Features
Tianyu Yan, Zifu Wan, Xinhao Deng +3
Recently, Segment Anything Model (SAM) shows exceptional performance in generating high-quality object masks and achieving zero-shot image segmentation. However, as a versatile vis…
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
Pingping Zhang, Tianyu Yan, Yang Liu +1
As an important pillar of underwater intelligence, Marine Animal Segmentation (MAS) involves segmenting animals within marine environments. Previous methods don't excel in extracti…