4 papers
FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding
Yiweng Xie, Bo He, Junke Wang +3
This paper presents FluxMem, a training-free framework for efficient streaming video understanding. FluxMem adaptively compresses redundant visual memory through a hierarchical, tw…
Shallow Features Matter: Hierarchical Memory with Heterogeneous Interaction for Unsupervised Video Object Segmentation
Zheng Xiangyu, He Songcheng, Li Wanyun +2
Unsupervised Video Object Segmentation (UVOS) aims to predict pixel-level masks for the most salient objects in videos without any prior annotations. While memory mechanisms have b…
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
Xiangyu Zheng, Wanyun Li, Songcheng He +3
Recent mainstream unsupervised video object segmentation (UVOS) motion-appearance approaches use either the bi-encoder structure to separately encode motion and appearance features…
OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework
Wanyun Li, Pinxue Guo, Xinyu Zhou +5
Contemporary Video Object Segmentation (VOS) approaches typically consist stages of feature extraction, matching, memory management, and multiple objects aggregation. Recent advanc…