This code is for the paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration".
Accepted by ICCV21.
Commnd example for WideResnet28x10 on CiFAR100.
python train.py --lr .0001 --dataset cifar100 --optimizer adam --sigma 0.01 --width 10 --depth 28 --warmup_iters 1000 --ebm_modify --n_epochs 15 --ebm_start_epoch 8 --ebm_weight 0.1
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Pytorch Medical Segmentation Read Chinese Introduction：Here！ Recent Updates 2021.1.8 The train and test codes are released. 2021.2.6 A bug in dice was
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Oscar: Object-Semantics Aligned Pre-training for Vision-and-Language Tasks VinVL: Revisiting Visual Representations in Vision-Language Models Updates
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