Semi-Supervised Video Object Segmentation
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Benchmarks
DAVIS 2017 (val)
DAVIS 2016
DAVIS 2017 (test-dev)
YouTube-VOS 2018
YouTube-VOS 2019
VOT2020
MOSE
Long Video Dataset
YouTube
BURST-test
BURST-val
DAVIS-2017
Long Video Dataset (3X)
DAVIS 2017
DAVIS-2016
Most implemented
SAM 2: Segment Anything in Images and Videos
One-Shot Video Object Segmentation
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
Make One-Shot Video Object Segmentation Efficient Again
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
Papers
TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model
Segment Anything Model 2 (SAM 2) serves as a core foundation model in the field of video segmentation. Building upon the original SAM model, it introduces a memory bank mechanism and demonstrates outstanding performance …
Semi-Supervised Video Object SegmentationVideo SegmentationRe-Prompting SAM 3 via Object Retrieval: 3rd of the 5th PVUW MOSE Track
This technical report explores the MOSEv2 track of the PVUW 2026 Challenge, which targets complex semi-supervised video object segmentation. Built on SAM~3, we develop an automatic re-prompting framework to improve robus…
Semi-Supervised Video Object SegmentationSegment Anything Across Shots: A Method and Benchmark
This work focuses on multi-shot semi-supervised video object segmentation (MVOS), which aims at segmenting the target object indicated by an initial mask throughout a video with multiple shots. The existing VOS methods m…
Semi-Supervised Video Object SegmentationData Augmentation2nd Place Report of MOSEv2 Challenge 2025: Concept Guided Video Object Segmentation via SeC
Semi-supervised Video Object Segmentation aims to segment a specified target throughout a video sequence, initialized by a first-frame mask. Previous methods rely heavily on appearance-based pattern matching and thus exh…
Semi-Supervised Video Object SegmentationThe 1st Solution for MOSEv2 Challenge 2025: Long-term and Concept-aware Video Segmentation via SeC
This technical report explores the MOSEv2 track of the LSVOS Challenge, which targets complex semi-supervised video object segmentation. By analysing and adapting SeC, an enhanced SAM-2 framework, we conduct a detailed s…
Semi-Supervised Video Object SegmentationVideo SegmentationVoCap: Video Object Captioning and Segmentation from Any Prompt
Understanding objects in videos in terms of fine-grained localization masks and detailed semantic properties is a fundamental task in video understanding. In this paper, we propose VoCap, a flexible video model that cons…
Semi-Supervised Video Object SegmentationReferring Expression Segmentation