Research map / Vision-language and multimodal / Human and embodied modeling
FashionVLP: Vision Language Transformer for Fashion Retrieval With Feedback
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use FashionVLP instead of CosMo | FashionIQ (VAL protocol) · FashionIQ (VAL protocol) | Mean: 39.45 -> 48.39 | Helped |
| Use FashionVLP instead of CosMo | FashionIQ (Original protocol) · FashionIQ (Original protocol) | Mean: 31.25 -> 39.14 | Helped |
| Use FashionVLP instead of CosMo | Fashion200K · Fashion200K | R@10: 50.4 -> 49.9 | Hurt |
| Use FashionVLP instead of CosMo | Fashion200K · Fashion200K | R@50: 69.3 -> 70.5 | Helped |
| Use FashionVLP instead of CosMo | Fashion200K · Fashion200K | Mean: 59.8 -> 60.2 | Helped |
| Use FashionVLP instead of VAL | Shoes · Shoes | R@10: 49.12 -> 49.08 | Hurt |
| Use FashionVLP instead of CosMo | Shoes · Shoes | R@50: 75.64 -> 77.32 | Helped |
| Use FashionVLP instead of CosMo | Shoes · Shoes | Mean: 62.00 -> 63.20 | Helped |
| Add positional attention to combine spatial image features (ablation) | FashionVLP · FashionIQ | Mean: 47.59 -> 48.39 | Helped |
| Add fashion landmark features (ablation) | FashionVLP · FashionIQ | Mean: 47.02 -> 48.39 | Helped |
| Add cropped clothing encodings alongside landmarks (ablation) | FashionVLP · FashionIQ | Mean: 46.18 -> 48.39 | Helped |
| Add RoI features alongside landmarks and cropped clothing encodings (ablation) | FashionVLP · FashionIQ | Mean: 45.86 -> 48.39 | Helped |
Closest papers by meaning
- Easy Regional Contrastive Learning of Expressive Fashion Representations (NeurIPS 2024 · similarity 0.91)
- FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval (AAAI 2024 · similarity 0.90)
- Seeing the Abstract: Translating the Abstract Language for Vision Language Models (CVPR 2025 · similarity 0.89)
- ChatGarment: Garment Estimation, Generation and Editing via Large Language Models (CVPR 2025 · similarity 0.86)
- Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms (NeurIPS 2024 · similarity 0.86)
- QuARI: Query Adaptive Retrieval Improvement (NeurIPS 2025 · similarity 0.84)
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