Hugging Face Trending Papers

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning

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Training deep learning models with freely available web images can reduce their dependence on costly manual annotations. Although webly supervised learning has been widely studied for single-label recognition, its multi-label counterpart remains underexplored, partly due to the lack of unified benchmarks and fair comparison protocols.

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arXiv Machine Learning
Jun 5

In-Context Multiple Instance Learning

arXiv:2606. 06458v1 Announce Type: new Abstract: Multiple Instance Learning (MIL) addresses problems where supervision is available at the level of bags of instances and has been successfully applied in fields ranging from computational pathology to satellite imagery.

By Alexander M\"ollers, Marvin Sextro, Julius Hense, Gabriel Dernbach, Klaus-Robert M\"uller