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Boundary Proposal Network for Two-stage Natural Language Video Localization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use two-stage boundary proposals and segment-level visual-language matching instead of one-stage localization | NLVL with C3D features · Charades-STA | R@1, IoU=0.7: 15.11 -> 20.51 | Helped |
| use two-stage boundary proposals and segment-level visual-language matching instead of one-stage localization | NLVL with C3D features · TACoS | mIoU: 18.01 -> 19.53 | Helped |
| use two-stage boundary proposals and segment-level visual-language matching instead of one-stage localization | NLVL with C3D features · ActivityNet Captions | mIoU: 40.53 -> 42.11 | Helped |
| add the Visual-Language Fusion layer (ablation) | BPNet · Charades-STA | R@1, IoU=0.5: 34.78 -> 38.25 | Helped |
| add the Visual-Language Fusion layer (ablation) | BPNet · Charades-STA | mIoU: 37.92 -> 38.03 | Helped |
| use learned anchor-free proposals rather than fixed temporal windows (ablation) | NLVL on TACoS · TACoS | mIoU: 13.50 -> 19.53 | Helped |
Closest papers by meaning
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- Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency (AAAI 2024 · similarity 0.89)
- Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization (AAAI 2024 · similarity 0.87)
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- ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos (CVPR 2025 · similarity 0.86)
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