Research map / Graph learning / Knowledge and temporal graphs
Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use question-bridged visual-to-visual interaction instead of direct appearance-motion aggregation (ablation) | Bridge to Answer · TGIF-QA | accuracy: 75.1 -> 75.9; 81.7 -> 82.6; 56.9 -> 57.5 | Helped |
| add appearance features, Q2A, and V2V interactions (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 72.8 -> 75.9 | Helped |
| add motion features, Q2M, and V2V interactions (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 68.2 -> 75.9 | Helped |
| add Q2V and V2V interactions (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 69.4 -> 75.9 | Helped |
| add question-to-appearance interaction (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 73.9 -> 75.9 | Helped |
| add question-to-motion interaction (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 73.1 -> 75.9 | Helped |
| add question-conditioned visual representations (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 72.3 -> 75.9 | Helped |
| add appearance-to-motion interaction (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 74.7 -> 75.9 | Helped |
| add motion-to-appearance interaction (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 74.8 -> 75.9 | Helped |
| add visual-to-visual interaction (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 74.1 -> 75.9 | Helped |
| set lambda to 1 rather than 10 (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 75.1 -> 75.9 | Hurt |
| set lambda to 5 rather than 10 (ablation) | Bridge to Answer · TGIF-QA Action | accuracy: 75.3 -> 75.9 | Hurt |
Closest papers by meaning
- Learning Conditioned Graph Structures for Interpretable Visual Question Answering (NeurIPS 2018 · similarity 0.91)
- Language-aware Visual Semantic Distillation for Video Question Answering (CVPR 2024 · similarity 0.89)
- Multimodal Commonsense Knowledge Distillation for Visual Question Answering (Student Abstract) (AAAI 2025 · similarity 0.88)
- Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models (ICML 2025 · similarity 0.87)
- Not Another Text Benchmark: Putting the “Visual" Back in Visual Question Answering for Large Video Models (NeurIPS 2026 · similarity 0.87)
- Video-Context Aligned Transformer for Video Question Answering (AAAI 2024 · similarity 0.87)
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