meng1994412 / ResNet_from_scratch
Implement ResNet family from scratch and train them on CIFAR-10, Tiny ImageNet, and ImageNet datasets
☆16Updated 5 years ago
Alternatives and similar repositories for ResNet_from_scratch
Users that are interested in ResNet_from_scratch are comparing it to the libraries listed below
Sorting:
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 5 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆61Updated last year
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 4 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆125Updated 7 years ago
- The code is an implementation of Feedback Convolutional Neural Network for Visual Localization and Segmentation.☆23Updated 6 years ago
- Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS …☆184Updated 5 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆42Updated last year
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 2 years ago
- MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation☆51Updated 4 years ago
- Visualisations for Convolutional Neural Networks in Pytorch☆86Updated 7 years ago
- Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.☆48Updated 8 years ago
- A Comprehensive Analysis of Deep Regression☆22Updated 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]☆184Updated 5 years ago
- Collection of tools to support submissions to the 3rd VIPriors workshop challenges☆69Updated last year
- Official Pytorch implementation of MixMo framework☆84Updated 3 years ago
- Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.☆36Updated 2 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆39Updated 5 years ago
- an implementation of mixup☆41Updated 4 years ago
- [CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification☆41Updated 3 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 7 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated 2 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago