valerystrizh / pytorch-histogram-loss
PyTorch implementation for Histogram Loss
☆188Updated 5 years ago
Alternatives and similar repositories for pytorch-histogram-loss:
Users that are interested in pytorch-histogram-loss are comparing it to the libraries listed below
- The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a…☆163Updated 6 years ago
- Convert models from MatConvNet to PyTorch☆94Updated 6 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Small utility for color space conversions of PyTorch Tensors and Variables☆189Updated 6 years ago
- Detail-Preserving Pooling in Deep Networks (CVPR 2018)☆116Updated 6 years ago
- Positional Normalization (PONO) and Moment Shortcut (MS)☆156Updated 3 years ago
- ☆131Updated 6 years ago
- Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.☆93Updated 6 years ago
- Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 20…☆144Updated 3 months ago
- Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation☆112Updated 6 years ago
- Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection☆182Updated 4 years ago
- FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery☆279Updated 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
- Batch-Instance Normalization (BIN)☆79Updated 5 years ago
- A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation☆138Updated 6 years ago
- Superpixel Pooling implemented in PyTorch and Chainer☆136Updated 5 years ago
- Spatial and channel-wise attention☆38Updated 6 years ago
- ☆68Updated 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]☆182Updated 5 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 6 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆181Updated 4 years ago
- PyTorch Implementation of "Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation"☆43Updated 5 years ago
- A Pytorch Implementation for Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆29Updated 5 years ago
- The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".☆102Updated last year
- Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018☆139Updated 5 years ago
- Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18☆65Updated 3 years ago
- Rank the papers accepted to CVPR 2019 by the number of stars in their github repository☆155Updated 5 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 6 years ago
- Pytorch code for DAE and IntrinsicDAE☆124Updated 6 years ago
- Group Normalization in PyTorch☆109Updated 5 years ago