| MPG-SAM 2 |
- J&F
- 73.9
- J
- 71.7
- F
- 76.1
|
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation
2025-01-23 |
코드 1 |
| VRS-HQ (Chat-UniVi-13B) |
- J&F
- 71
- J
- 69
- F
- 73.1
|
The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
2025-01-15 |
코드 1 |
| GLEE-Pro |
- J&F
- 70.6
- J
- 68.2
- F
- 72.9
|
General Object Foundation Model for Images and Videos at Scale
2023-12-14 |
코드 1 |
| UNINEXT-H |
- J&F
- 70.1
- J
- 67.6
- F
- 72.7
|
Universal Instance Perception as Object Discovery and Retrieval
2023-03-12 |
코드 1 |
| ReferDINO (Swin-B) |
- J&F
- 69.3
- J
- 67.0
- F
- 71.5
|
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
2025-01-24 |
연결 없음 |
| MUTR |
- J&F
- 68.4
- J
- 66.4
- F
- 70.4
|
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
2023-05-25 |
코드 1 |
| VLP (VLMo-L) |
- J&F
- 67.6
- J
- 65.3
- F
- 69.8
|
Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation
2024-05-17 |
연결 없음 |
| UniRef-L (Swin-L) |
- J&F
- 67.4
- J
- 65.5
- F
- 69.2
|
Segment Every Reference Object in Spatial and Temporal Spaces
2023-01-01 |
연결 없음 |
| SOC (Joint training, Video-Swin-B) |
- J&F
- 67.3±0.5
- J
- 65.3
- F
- 69.3
|
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
2023-05-26 |
코드 1 |
| HTR (Pre-training) |
- J&F
- 67.1
- J
- 65.3
- F
- 68.9
|
Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
2024-03-28 |
코드 1 |
| DsHmp (Video-Swin-Base) |
- J&F
- 67.1
- J
- 65
- F
- 69.1
|
Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
2024-04-04 |
코드 1 |
| UniRef++-L |
- J&F
- 66.9
- J
- 64.8
- F
- 69.0
|
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
2023-12-25 |
코드 1 · 코드 2 |
| ViLLa |
- J&F
- 66.5
- J
- 64.6
- F
- 68.6
|
ViLLa: Video Reasoning Segmentation with Large Language Model
2024-07-18 |
코드 1 |
| DEVA (ReferFormer) |
- J&F
- 66.0
|
Tracking Anything with Decoupled Video Segmentation
2023-09-07 |
코드 1 |
| SgMg (Pre-training) |
- J&F
- 65.7
- J
- 63.9
- F
- 67.4
|
Spectrum-guided Multi-granularity Referring Video Object Segmentation
2023-07-25 |
코드 1 |
| GroPrompt |
- J&F
- 65.5
- J
- 64.1
- F
- 66.9
|
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation
2024-06-18 |
연결 없음 |
| EPCFormer (ViT-H) |
- J&F
- 65
- J
- 62.9
- F
- 67.2
|
Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation
2023-08-08 |
연결 없음 |
| UniLSeg-100 |
- J&F
- 64.9
- J
- 62.8
- F
- 67.0
|
Universal Segmentation at Arbitrary Granularity with Language Instruction
2023-12-04 |
코드 1 · 코드 2 |
| LoSh-R |
- J&F
- 64.2
- J
- 62.5
- F
- 66.0
|
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
2023-06-14 |
코드 1 |
| VLT |
- J&F
- 63.8
- J
- 61.9
- F
- 65.6
|
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
2022-10-28 |
코드 1 |
| OnlineRefer (Swin-L, online) |
- J&F
- 63.5
- J
- 61.6
- F
- 65.5
|
OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
2023-07-18 |
코드 1 |
| R2VOS (Video-Swin-T) |
- J&F
- 61.3
- J
- 59.6
- F
- 63.1
|
Towards Robust Referring Video Object Segmentation with Cyclic Relational Consensus
2022-07-04 |
코드 1 |
| SOC (Video-Swin-T) |
- J&F
- 59.2
- J
- 57.8
- F
- 60.5
|
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
2023-05-26 |
코드 1 |
| UniVS(Swin-L) |
- J&F
- 58.0
- J
- 56.8
- F
- 59.5
|
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
2024-02-28 |
코드 1 |
| ReferFormer (ResNet-101) |
- J&F
- 57.3
- J
- 56.1
- F
- 58.4
|
Language as Queries for Referring Video Object Segmentation
2022-01-03 |
코드 1 |
| MANET |
- J&F
- 55.63
- J
- 54.75
- F
- 56.51
|
Multi-Attention Network for Compressed Video Referring Object Segmentation
2022-07-26 |
코드 1 |
| ReferFormer (ResNet-50) |
- J&F
- 55.6
- J
- 54.8
- F
- 56.6
|
Language as Queries for Referring Video Object Segmentation
2022-01-03 |
코드 1 |
| MTTR (w=12) |
- J&F
- 55.32
- J
- 54.00
- F
- 56.64
|
End-to-End Referring Video Object Segmentation with Multimodal Transformers
2021-11-29 |
코드 1 · 코드 2 |
| Locater |
- J&F
- 50
- J
- 48.8
- F
- 51.1
|
Local-Global Context Aware Transformer for Language-Guided Video Segmentation
2022-03-18 |
코드 1 |
| MLRLSA |
- J&F
- 49.70
- J
- 50.96
- F
- 48.43
|
Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation
2022-01-01 |
연결 없음 |