machine-perception-robotics-group / attention_branch_networkLinks
Attention Branch Network (CIFAR100, ImageNet models)
☆273Updated 2 years ago
Alternatives and similar repositories for attention_branch_network
Users that are interested in attention_branch_network are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"☆73Updated 4 years ago
- A generalized gradient-based CNN visualization technique☆297Updated 6 years ago
- Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims …☆238Updated 7 years ago
- Class Activation Mapping written in PyTorch.☆151Updated 3 years ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆197Updated 6 years ago
- an personal implementation about randaugment☆77Updated last year
- PyTorch implementation of AutoAugment.☆161Updated 5 years ago
- Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras☆168Updated 5 years ago
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆169Updated 5 years ago
- ☆524Updated 2 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆803Updated 6 years ago
- Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018☆196Updated 7 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆276Updated 4 years ago
- Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].☆436Updated last year
- Semi-supervised ImageNet1K models☆246Updated 6 years ago
- Compact Bilinear Pooling for PyTorch☆254Updated 3 years ago
- A Simple pytorch implementation of GradCAM and GradCAM++☆396Updated 6 years ago
- Joint Optimization Framework for Learning with Noisy Labels☆45Updated 7 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 6 years ago
- PyTorch Implementation for SoftTriple Loss☆211Updated last year
- Invariant Information Clustering for Unsupervised Image Classification and Segmentation☆62Updated 5 years ago
- PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segm…☆268Updated 2 years ago
- Pytorch implementation of paper: [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_20…☆46Updated 6 years ago
- Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)☆335Updated 3 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆339Updated 4 years ago
- This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MM…☆258Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆121Updated last year
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆615Updated 4 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Updated 6 years ago
- SSL-FEW-SHOT☆171Updated 5 years ago