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MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add feature alignment with a sentence-level dynamic filter (ablation) | MAN single-shot base · DiDeMo | Rank@1: 23.56 -> 24.45 | Helped |
| use word-level rather than sentence-level dynamic filters (ablation) | MAN single-shot base with feature alignment · DiDeMo | Rank@1: 24.45 -> 25.10 | Helped |
| add three IGAN cells rather than none (ablation) | MAN with feature alignment · DiDeMo | Rank@1: 23.56 -> 27.02 | Helped |
| increase IGAN depth from one cell to two (ablation) | MAN with feature alignment and IGAN · DiDeMo | Rank@1: 25.67 -> 26.10 | Helped |
| increase IGAN depth from two cells to three (ablation) | MAN with feature alignment and IGAN · DiDeMo | Rank@1: 26.10 -> 27.02 | Helped |
| replace TAN visual features with VGG-16 features (ablation) | MAN · Charades-STA | R@1 IoU=0.5: 46.53 -> 41.24 | Hurt |
| use MAN instead of the strongest listed baseline, Xu et al. | natural language moment retrieval · Charades-STA | R@1 IoU=0.5: 35.60 -> 46.53 | Helped |
| use MAN instead of the strongest listed baseline, MCN | natural language moment retrieval · DiDeMo | Rank@1: 24.42 -> 27.02 | Helped |
Closest papers by meaning
- Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval (AAAI 2024 · similarity 0.88)
- Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models (AAAI 2025 · similarity 0.87)
- CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer (AAAI 2025 · similarity 0.86)
- Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language (AAAI 2024 · similarity 0.86)
- Anchor-Aware Similarity Cohesion in Target Frames Enables Predicting Temporal Moment Boundaries in 2D (CVPR 2025 · similarity 0.86)
- Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval (AAAI 2025 · similarity 0.86)
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