The MODA General Attribute Suite: A Four-Track Evaluation Benchmark for Fashion Attribute Extraction

arXiv:2609.13279 · cs.CV, eess.IV · Submitted 2026-09-08 · Read on arXiv

cs.CV, eess.IV

Submitted: 2026-09-08

Updated: 2026-09-19

Code: https://github.com/hopit-ai/Moda_ner

Terminology

• Benchmark — 9× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes

Sources

• Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
• Text2Human: Text-Driven Controllable Human Image Generation
• Contrastive language and vision learning of general fashion concepts
• Sigmoid Loss for Language Image Pre-Training
• Qwen3-VL Technical Report
• Zero-Shot Product Attribute Labeling with Vision-Language Models: A Three-Tier Evaluation Framework
• The iMaterialist Fashion Attribute Dataset
• Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
• Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
• Leakage and the Reproducibility Crisis in ML-based Science
• Selective Classification for Deep Neural Networks
• LookBench: A Live and Holistic Open Benchmark for Fashion Image Retrieval

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