Research map / Vision-language and multimodal / Human and embodied modeling
Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add recurrent attention-based Stage II motion integration to Stage I (ablation) | Ours-Stage I · Sintel human responses | partial correlation ρ_uv: 0.34 -> 0.57 | Helped |
| train motion-energy filter tuning instead of fixing it to uniform intervals (ablation) | Ours · Sintel human responses | partial correlation ρ_uv: -0.02 -> 0.57 | Helped |
| train RAFT on the mixed dataset used by the paper | RAFT · Sintel human responses | partial correlation ρ_uv: 0.20 -> 0.43 | Helped |
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