Papers with Code 아카이브
Referring Video Object Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 5
- 보존된 평가 기록
- 61
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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
InterRVOS: Interaction-aware Referring Video Object Segmentation
Long-RVOS: A Comprehensive Benchmark for Long-term Referring Video Object Segmentation
Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence Matching
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video Segmentation
4th PVUW MeViS 3rd Place Report: Sa2VA
ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
Referring Video Object Segmentation via Language-aligned Track Selection
HyperSeg: Towards Universal Visual Segmentation with Large Language Model
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
The 2nd Solution for LSVOS Challenge RVOS Track: Spatial-temporal Refinement for Consistent Semantic Segmentation
The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution
UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track
VISA: Reasoning Video Object Segmentation via Large Language Models
ActionVOS: Actions as Prompts for Video Object Segmentation
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation
1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation
Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.