Conventional video object segmentation (VOS) methods usually necessitate a substantial volume of pixel-level annotated video data for fully supervised learning. In this paper, we present HVC, a hybrid static-dynamic visual correspondence framework for self-supervised VOS. HVC extracts pseudo-dynamic signals from static...
Ya-Zhou Yao, Gen-Sheng Pei, Jian-Bo Jiao et al.· IEEE Transactions on Pattern...· 0 citations
This work proposes a task-specific pruning pipeline, named Cut-ViT, which first construct gram anchoring matrices from both spatial and semantic perspectives, and performs the subspace decomposition to extract the corresponding subspace bases.
Jianjian Yin, Liulei Li, Tao Chen et al.· 1 citation
LaMem-VLA is introduced, a latent-memory-native framework that reconstructs historical experience into latent memory tokens and directly interweaves them with VLA reasoning, and enables memory to directly participate in VLA reasoning and guide action generation under a bounded context.
Hongyu Qu, Jianzhe Gao, Xiaobin Hu et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.