wielandbrendel / bag-of-local-features-modelsLinks
Pretrained bag-of-local-features neural networks
☆313Updated 5 years ago
Alternatives and similar repositories for bag-of-local-features-models
Users that are interested in bag-of-local-features-models are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- ☆351Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆347Updated 4 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
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims …☆236Updated 6 years ago
- Standardizing weights to accelerate micro-batch training☆549Updated 3 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆586Updated 3 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆251Updated 3 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 3 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆517Updated 3 weeks ago
- ☆226Updated 4 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆182Updated 5 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- A generalized gradient-based CNN visualization technique☆295Updated 6 years ago
- Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' pap…☆400Updated 6 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 5 years ago
- Visualizer for Deep Neural Networks☆296Updated 2 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Updated 7 years ago
- Hierarchy-based Image Embeddings for Semantic Image Retrieval☆267Updated 4 years ago
- ☆182Updated 2 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆341Updated 4 years ago
- ☆377Updated 5 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆255Updated 7 years ago
- Semi-supervised ImageNet1K models☆244Updated 5 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆448Updated 6 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆339Updated 5 years ago