ngxbac / GAINLinks
Pytorch implementation of paper: [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Tell_Me_Where_CVPR_2018_paper.pdf)
☆47Updated 5 years ago
Alternatives and similar repositories for GAIN
Users that are interested in GAIN are comparing it to the libraries listed below
Sorting:
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆197Updated 5 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
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- An implementation of GAIN heatmap network in pytorch. Original paper: https://arxiv.org/abs/1802.10171☆30Updated 7 years ago
- ☆69Updated 4 years ago
- (ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization☆147Updated 5 years ago
- Class Activation Mapping written in PyTorch.☆151Updated 3 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Weakly Supervised Object Localization Papers☆167Updated last year
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆84Updated 2 years ago
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆59Updated 7 years ago
- Batch-Instance Normalization (BIN)☆78Updated 5 years ago
- Semantic Aware Attention Based Deep Object Co-segmentation☆69Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated last year
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 6 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- Pytorch code for the IEEE TM/ECCV paper "Attend and rectify"☆53Updated 6 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 6 years ago
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆168Updated 4 years ago
- ☆31Updated 4 years ago
- Weakly-/Semi-Supervised Learning in Computer vision☆132Updated 3 years ago
- Class Activation Map with Pytorch☆84Updated 5 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated last year
- Semi-supervised ImageNet1K models☆244Updated 5 years ago
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 7 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆252Updated 3 years ago