EvgenyKashin / SRMnet
PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"
☆81Updated 5 years ago
Alternatives and similar repositories for SRMnet:
Users that are interested in SRMnet are comparing it to the libraries listed below
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆86Updated 5 years ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- A GridMixup augmentation, inspired by GridMask and CutMix☆42Updated 4 years ago
- Implementation of MobileNetV3 in pytorch☆89Updated 5 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 4 years ago
- Tool box for PyTorch☆186Updated 10 months ago
- ☆16Updated 4 years ago
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated last year
- Pytorch implementation of Learning Rate Dropout.☆42Updated 5 years ago
- ☆54Updated 3 years ago
- Minimal API for receptive field calculation in PyTorch☆67Updated 2 years ago
- Multiple Light Source Dataset for Colour Research☆25Updated 5 years ago
- Object-Contextual Representations for Semantic Segmentation in PyTorch☆64Updated 5 years ago
- PyTorch code for our paper : "SRM : A Style-based Recalibration Module for Convolutional Neural Networks" (https://arxiv.org/abs/1903.108…☆57Updated 5 years ago
- ☆35Updated 5 years ago
- Implementing Lambda Networks using Pytorch☆138Updated 4 years ago
- Batch normalization fusion for PyTorch☆195Updated 4 years ago
- Implementation of DropBlock in Pytorch☆81Updated 6 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆36Updated 5 years ago
- The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)☆53Updated 4 years ago
- [ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829☆336Updated 3 years ago
- Model Scope in PyTorch (include Params, FLOPs, Madds).☆121Updated 5 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆264Updated 5 years ago
- ☆25Updated 4 years ago
- Pytorch implementation of Coherent Semantic Attention Image Inpainting☆27Updated 5 years ago
- 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
- A fork of the official TPU models repo with fixes and a solution of the Kaggle Open Images 2019 Object Detection Challenge☆49Updated 5 years ago
- Official repository for Big-Little Net☆58Updated 5 years ago
- Image to Image translation, image generataton, few shot learning☆53Updated 4 years ago