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深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
I will upload many semantic segmentation models to this repository for you to learn
This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
[ISBI'21, CBM'22] TRFE-Net for thyroid nodule segmentation
Use visible and infrared images to train the network. This method is better to face the dark environment.
This repository contains lists of state-or-art weakly supervised semantic segmentation works
changchunli / Awesome-Learning-with-Label-Noise
Forked from subeeshvasu/Awesome-Learning-with-Label-NoiseA curated list of resources for Learning with Noisy Labels
Weakly Supervised MRI Series Classification for the UK Biobank
PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with di…
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
A list of backdoor learning resources