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 26–50 of 74 papers

TitleStatusHype
UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track—0
VISA: Reasoning Video Object Segmentation via Large Language ModelsCode3
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation—0
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation—0
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
UniRef++: Segment Every Reference Object in Spatial and Temporal SpacesCode2
General Object Foundation Model for Images and Videos at ScaleCode3
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation—0
Temporal Collection and Distribution for Referring Video Object Segmentation—0
Tracking Anything with Decoupled Video SegmentationCode3
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited SamplesCode0
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
Expression Prompt Collaboration Transformer for Universal Referring Video Object SegmentationCode0
Learning Referring Video Object Segmentation from Weak Annotation—0
LISA: Reasoning Segmentation via Large Language ModelCode4
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.