MrtnMndt/Rethinking_CNN_Layerwise_Feature_Amounts

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Created about 6 years ago
Updated almost 6 years ago

MrtnMndt/Rethinking_CNN_Layerwise_Feature_Amounts

MrtnMndt

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PyTorch implementation of our paper "Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures"

Deep_Openset_Recognition_through_Uncertainty

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

meta-learning-CODEBRIM

Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset".

OpenVAE_ContinualLearning

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition