Research map / Label-efficient and robust learning / Recognition and long-tail
Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use mixed-category sampling instead of triplet sampling (ablation) | metric learning · Fashionbeans item level | Recall@20: 0.20 -> 0.24 | Helped |
| use mixed-category sampling instead of Siamese pairs (ablation) | metric learning · Fashionbeans item level | Recall@20: 0.16 -> 0.24 | Helped |
| use triplet instead of Siamese pairs (ablation) | metric learning · Fashionbeans item level | Recall@20: 0.16 -> 0.20 | Helped |
| use classification-trained GoogLeNet instead of metric learning (ablation) | retrieval embedding · Fashionbeans item level | Recall@20: 0.07 vs 0.24 | Hurt |
| increase embedding size from 128 to 384 by concatenating layers (ablation) | mixed-category metric learning · Fashionbeans item level | Recall@20: 0.24 -> 0.34 | Helped |
| replace hinge loss with HDCLoss (ablation) | mixed-category metric learning · Fashionbeans item level | Recall@20: 0.34 -> 0.49 | Helped |
| replace hinge loss with AffineLoss (ablation) | mixed-category metric learning · Fashionbeans item level | Recall@20: 0.34 -> 0.32 | Hurt |
| use PDDM/LiftedStruct/Histogram loss instead of hinge (ablation) | mixed-category metric learning · Fashionbeans item level | Recall@20: 0.34 -> 0.44 (PDDM) | Helped |
| use hard-aware sequential exemplar mining instead of random, simple-only or semi-hard-only (ablation) | mixed-category metric learning · training loss | loss curve | Helped |
Closest papers by meaning
- Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach (AAAI 2017 · similarity 0.90)
- Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification (CVPR 2018 · similarity 0.89)
- Easy Regional Contrastive Learning of Expressive Fashion Representations (NeurIPS 2024 · similarity 0.86)
- FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval (AAAI 2024 · similarity 0.85)
- AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models (CVPR 2025 · similarity 0.84)
- TexFit: Text-Driven Fashion Image Editing with Diffusion Models (AAAI 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
