fh295 / semanticCNNLinks
β69Updated 9 years ago
Alternatives and similar repositories for semanticCNN
Users that are interested in semanticCNN are comparing it to the libraries listed below
Sorting:
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networksβ238Updated 4 years ago
- π¬ Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.β103Updated 6 years ago
- When Does Label Smoothing Help?_pytorch_implementationimpβ125Updated 5 years ago
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localβ¦β59Updated 7 years ago
- [ECCV2020] Knowledge Distillation Meets Self-Supervisionβ237Updated 2 years ago
- MSDNetβ190Updated 3 years ago
- An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"β132Updated 7 years ago
- Class Activation Mapping written in PyTorch.β152Updated 3 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552β551Updated 5 years ago
- A generalized gradient-based CNN visualization techniqueβ295Updated 6 years ago
- A Simple pytorch implementation of GradCAM and GradCAM++β382Updated 6 years ago
- PyTorch implementation of AutoAugment.β159Updated 5 years ago
- Scripts for Imagenet 32 datasetβ153Updated 4 years ago
- Official implementation of Score-CAM in PyTorchβ425Updated 2 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learniβ¦β150Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"β141Updated 5 years ago
- The Pytorch Implementation of L-Softmaxβ188Updated 6 years ago
- Wide Residual Networks (WideResNets) in PyTorchβ341Updated 4 years ago
- β172Updated 4 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.β139Updated 6 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasetsβ159Updated 4 years ago
- Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"β249Updated 2 years ago
- Pytorch Implementation of Deep Networks with Stochastic Depthβ62Updated 6 years ago
- Self-Supervised Representation Learning by Rotation Feature Decouplingβ95Updated 6 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]β184Updated 5 years ago
- Batch-Instance Normalization (BIN)β78Updated 5 years ago
- (CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbilityβ41Updated 5 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilineβ¦β275Updated 4 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)β96Updated 3 years ago
- Code and pretrained models for paper: Data-Free Adversarial Distillationβ99Updated 2 years ago