GitHub topics: robust-deep-learning
dlmacedo/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
Language: Python - Size: 4.16 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 3

iurada/neutron-segmentation
Official repository of our work "Transient Fault Tolerant Semantic Segmentation for Autonomous Driving" accepted at ECCV UnCV Workshop 2024
Language: Python - Size: 1.44 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

KibromBerihu/LFBNet
This repository implements a robust deep learning method (LFBNet) for medical image segmentation using a two systems approach. Learning fast and slow strategy for robust medical image analysis.
Language: Python - Size: 279 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
