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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Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
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TensorFlow_Exercises The codes I made while I practiced various TensorFlow examples About the codes I didn't create these codes by myself, but re-crea
This is an Unbiased Learning To Rank Algorithms (ULTRA) toolbox, which provides a codebase for experiments and research on learning to rank with human annotated or noisy labels.
Label-Propagation-with-Augmented-Anchors (A2LP) Official codes of the ECCV2020 spotlight (label propagation with augmented anchors: a simple semi-supe
Autonomous Robots Kalman Filters The Kalman Filter is an easy topic. However, ma
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