SOTAVerified

Referring Video Object Segmentation

Referring video object segmentation aims at segmenting an object in video with language expressions. Unlike the previous video object segmentation, the task exploits a different type of supervision, language expressions, to identify and segment an object referred by the given language expressions in a video.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 74 papers

TitleStatusHype
1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video SegmentationCode1
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation—0
Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation—0
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context UnderstandingCode0
Decoupling Static and Hierarchical Motion Perception for Referring Video SegmentationCode2
Temporally Consistent Referring Video Object Segmentation with Hybrid MemoryCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
UniVS: Unified and Universal Video Segmentation with Prompts as QueriesCode3
1st Place Solution for 5th LSVOS Challenge: Referring Video Object SegmentationCode1
Tracking with Human-Intent ReasoningCode1
Show:102550
← PrevPage 4 of 8Next →

No leaderboard results yet.