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Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers.

, , , , , and . ICPRAM, page 395-402. SCITEPRESS, (2023)

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MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations., , , , , , , , , and 23 other author(s). CoRR, (2024)PatchDropout: Economizing Vision Transformers Using Patch Dropout., , , , and . CoRR, (2022)CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection., , , , , , , , , and . CoRR, (2022)Adding seemingly uninformative labels helps in low data regimes., , , , , , , , , and 1 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 6775-6784. PMLR, (2020)Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models., , , and . MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 230-240. Springer, (2020)Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers., , , , , and . ICPRAM, page 395-402. SCITEPRESS, (2023)PatchDropout: Economizing Vision Transformers Using Patch Dropout., , , , and . WACV, page 3942-3951. IEEE, (2023)