| SG-DETR (w/ PT) |
- R@1,IoU=0.3
- 58.10
- R@1,IoU=0.5
- 46.40
- R@1,IoU=0.7
- 33.90
- mIoU
- 42.40
|
Saliency-Guided DETR for Moment Retrieval and Highlight Detection 2024-10-02 |
코드 1 |
| LD-DETR |
- R@1,IoU=0.3
- 57.61
- R@1,IoU=0.5
- 44.31
- R@1,IoU=0.7
- 26.24
- mIoU
- 40.30
|
LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight Detection 2025-01-18 |
코드 1 |
| DeCafNet |
- R@1,IoU=0.3
- 57.36
- R@1,IoU=0.5
- 46.79
- R@5,IoU=0.1
- 81.05
- R@5,IoU=0.3
- 71.13
|
DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos 2025-05-22 |
코드 1 |
| SG-DETR |
- R@1,IoU=0.3
- 56.71
- R@1,IoU=0.5
- 44.70
- R@1,IoU=0.7
- 29.90
- mIoU
- 40.90
|
Saliency-Guided DETR for Moment Retrieval and Highlight Detection 2024-10-02 |
코드 1 |
| BAM-DETR |
- R@1,IoU=0.3
- 56.69
- R@1,IoU=0.5
- 41.54
- R@1,IoU=0.7
- 26.77
- mIoU
- 39.31
|
BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos 2023-11-30 |
코드 1 |
| FlashVTG |
- R@1,IoU=0.3
- 53.71
- R@1,IoU=0.5
- 41.76
- R@1,IoU=0.7
- 24.74
- mIoU
- 37.61
|
FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding 2024-12-18 |
코드 1 |
| LLMEPET |
- R@1,IoU=0.3
- 52.73
- R@1,IoU=0.5
- 40.12
- R@1,IoU=0.7
- 22.78
- mIoU
- 36.55
|
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval 2024-07-21 |
코드 1 |
| CG-DETR |
- R@1,IoU=0.3
- 52.23
- R@1,IoU=0.5
- 39.61
- R@1,IoU=0.7
- 22.23
- mIoU
- 36.48
|
Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding 2023-11-15 |
코드 1 · 코드 2 |
| UniVTG |
- R@1,IoU=0.3
- 51.44
- R@1,IoU=0.5
- 34.97
- R@1,IoU=0.7
- 21.07
- mIoU
- 35.76
|
UniVTG: Towards Unified Video-Language Temporal Grounding 2023-07-31 |
코드 1 |
| GVL (paragraph-level) |
- R@1,IoU=0.3
- 48.29
- R@1,IoU=0.5
- 36.07
|
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos 2023-03-11 |
코드 1 |
| GVL |
- R@1,IoU=0.3
- 45.92
- R@1,IoU=0.5
- 34.57
|
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos 2023-03-11 |
코드 1 |
| VLG-Net |
- R@1,IoU=0.3
- 45.46
- R@1,IoU=0.5
- 34.19
- R@5,IoU=0.1
- 81.80
- R@5,IoU=0.5
- 56.56
- R@5,IoU=0.3
- 70.38
|
VLG-Net: Video-Language Graph Matching Network for Video Grounding 2020-11-19 |
코드 1 |
| UVCOM |
- R@1,IoU=0.5
- 36.39
- R@1,IoU=0.7
- 23.32
|
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection 2023-11-28 |
코드 1 |