AustinDoolittle / Pytorch-GainLinks
An implementation of GAIN heatmap network in pytorch. Original paper: https://arxiv.org/abs/1802.10171
☆31Updated 6 years ago
Alternatives and similar repositories for Pytorch-Gain
Users that are interested in Pytorch-Gain are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of paper: [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_20…☆47Updated 5 years ago
- Class Activation Mapping written in PyTorch.☆152Updated 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
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Updated 7 years ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆197Updated 5 years ago
- Class Activation Map with Pytorch☆84Updated 5 years ago
- PyTorch implementation of the ICLR 2018 paper Learning to Pay Attention.☆22Updated 7 years ago
- PyTorch Implementation for Segmentation and Saliency Prediction☆23Updated 7 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆167Updated 4 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
- (ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization☆147Updated 5 years ago
- Batch-Instance Normalization (BIN)☆78Updated 5 years ago
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 6 years ago
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 5 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- PyTorch Vision Toolbox not only for deep-clustering☆30Updated 2 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆118Updated 4 years ago
- Weakly-/Semi-Supervised Learning in Computer vision☆131Updated 3 years ago
- Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge☆154Updated 6 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated last year
- ☆22Updated 7 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
- ☆39Updated 7 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Pytorch implementation of GCN architecture for semantic segmentation☆83Updated 6 years ago
- PyTorch implementation of Double Attention Net☆26Updated 6 years ago
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆191Updated 5 years ago