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Found 6 papers, 1 papers with code
Semantic and Sequential Alignment for Referring Video Object Segmentation
Referring video object segmentation (RVOS) seeks to segment the objects within a video referred by linguistic expressions.
Instance Segmentation
Referring Video Object Segmentation
+2
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes.
UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track
Referring video object segmentation (RVOS) relies on natural language expressions to segment target objects in video.
Referring Video Object Segmentation
Semantic Segmentation
+1
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track
Video Object Segmentation (VOS) task aims to segmenting a particular object instance throughout the entire video sequence given only the object mask of the first frame.
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results
Moreover, we provide a new motion expression guided video segmentation dataset MeViS to study the natural language-guided video understanding in complex environments.
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation
The current RVOS methods typically use independently pre-trained vision and language models as backbones, resulting in a significant domain gap between video and text.
Referring Video Object Segmentation
Semantic Segmentation
+2
