Research map / Label-efficient and robust learning / Recognition and long-tail
Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis
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 |
|---|---|---|---|
| learn attribute- and class-specific representations jointly rather than MODC's inference-stage clustering | fine-grained fashion retrieval · DeepFashion | MAP@all: 70.42% | Helped |
| learn attribute- and class-specific representations jointly rather than MODC's inference-stage clustering | fine-grained fashion retrieval · FashionAI | MAP@all | Helped |
| learn attribute- and class-specific representations jointly rather than MODC's inference-stage clustering | fine-grained fashion retrieval · DARN | MAP@all: 16.35% | Helped |
| add attribute-conditional attention to class-conditional attention (ablation) | M3-Net · DeepFashion | MAP@all: 20.92 -> 21.78 | Helped |
| add class-conditional attention to attribute-conditional attention (ablation) | M3-Net · DeepFashion | MAP@all: 19.03 -> 21.78 | Helped |
| add attribute-conditional attention to class-conditional attention (ablation) | M3-Net · FashionAI | MAP@all: 72.88 -> 75.04 | Helped |
| add class-conditional attention to attribute-conditional attention (ablation) | M3-Net · FashionAI | MAP@all: 73.93 -> 75.04 | Helped |
| add class-conditional attention to attribute-conditional attention (ablation) | M3-Net · DARN | MAP@all: 71.06 -> 72.42 | Helped |
| add attribute-conditional attention to class-conditional attention (ablation) | M3-Net · DARN | MAP@all: 72.79 -> 72.42 | No clear effect |
Closest papers by meaning
- Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network (AAAI 2020 · similarity 0.92)
- Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation (AAAI 2026 · similarity 0.89)
- FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training (CVPR 2023 · similarity 0.88)
- FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval (AAAI 2024 · similarity 0.87)
- Easy Regional Contrastive Learning of Expressive Fashion Representations (NeurIPS 2024 · similarity 0.87)
- Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification (CVPR 2018 · similarity 0.87)
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.
