Prevalent semantic segmentation solutions are, in essence, a dense discriminative classifier
of p (class| pixel feature). Though straightforward, this de facto paradigm neglects the …

This paper focuses on developing a more effective method of hierarchical propagation for
semi-supervised Video Object Segmentation (VOS). Based on vision transformers, the …

Abstract The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh
annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge …

Abstract The Visual Object Tracking challenge VOT2022 is the tenth annual tracker
benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; …

Video object segmentation automatically separates the interested objects from the
background across a video sequence and was an active research area in recent years. The …

Multi-modal Video Object Segmentation (VOS), including RGB-Thermal, RGB-Depth, and
RGB-Event, has garnered attention due to its capability to address challenging scenarios …

Contemporary Video Object Segmentation (VOS) approaches typically consist stages of
feature extraction, matching, memory management, and multiple objects aggregation …

Video object segmentation uses the first annotated video mask to achieve consistent and
precise segmentation in subsequent frames. Recently, memory-based methods have …

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed
proceedings of 38 out of the 60 workshops held at the 17th European Conference on …

Memory-based video object segmentation methods model multiple objects over long
temporal-spatial spans by establishing memory bank, which achieve the remarkable …