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README.md
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# wsbench: trained models
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All trained models of **What Labels Are Worth Buying? Budget-Matched Weak Supervision for Cell Segmentation**
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(Khalid, Naseem, Dengel, Ahmed; ISBI 2027, submitted). Code:
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Every model is a Mask R-CNN R50-FPN (detectron2), trained with one label strategy at one annotation budget and one
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seed, and selected on the validation set. Together they cover every strategy, budget and seed of the paper,
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# wsbench: trained models
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All trained models of **What Labels Are Worth Buying? Budget-Matched Weak Supervision for Cell Segmentation**
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(Khalid, Naseem, Dengel, Ahmed; ISBI 2027, submitted). Code: https://github.com/nabeelkhalid92/wsbench
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Every model is a Mask R-CNN R50-FPN (detectron2), trained with one label strategy at one annotation budget and one
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seed, and selected on the validation set. Together they cover every strategy, budget and seed of the paper,
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