mlsanityData to 14 Oct 2026

DORAEMON: A Unified Library for Visual Object Modeling and Representation Learning at Scale

arXiv 2511.04394 ↗First posted 6 Nov 2025cs.CVcited by 2

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Abstract (arXiv)

DORAEMON is an open-source PyTorch library that unifies visual object modeling and representation learning across diverse scales. A single YAML-driven workflow covers classification, retrieval and metric learning; more than 1000 pretrained backbones are exposed through a timm-compatible interface, together with modular losses, augmentations and distributed-training utilities. Reproducible recipes match or exceed reference results on ImageNet-1K, MS-Celeb-1M and Stanford online products, while one-command export to ONNX or HuggingFace bridges research and deployment. By consolidating datasets, models, and training techniques into one platform, DORAEMON offers a scalable foundation for rapid experimentation in visual recognition and representation learning, enabling efficient transfer of research advances to real-world applications. The repository is available at https://github.com/wuji3/DORAEMON.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 36 of its 46 references that are in the map. First posted on arXiv 6 Nov 2025.

Builds on

36 of 46 references.

References · 36

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24 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026LookBench: A Live and Holistic Open Benchmark for Fashion Image Retrievalcited by 7
  2. 2026Beyond Retrieval: A Multitask Benchmark and Model for Code Searchcited by 1