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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

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Showing 61–70 of 74 papers

TitleStatusHype
The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution—0
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation—0
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation—0
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation—0
Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation—0
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation—0
Expression Prompt Collaboration Transformer for Universal Referring Video Object SegmentationCode0
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited SamplesCode0
Cross-Modal Self-Attention Network for Referring Image SegmentationCode0
Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence MatchingCode0
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