Depthwise Over-parameterized Convolutional Layer

Don't feel pain to use Deformable Convolution

PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].

C++ Linux WebServer服务器

A C++ High Performance Web Server

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Detail-Preserving Pooling in Deep Networks (CVPR 2018)

Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)

95.47% on CIFAR10 with PyTorch

a pytorch code about Residual Attention Network. This code is based on two projects from

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It contains the code for the paper Deep Adaptive Wavelet Network

A simple and useful implementation of LPIPS.

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

A PyTorch implementation of ConvTransformer: https://arxiv.org/pdf/2011.10185v1.pdf

pytorch structural similarity (SSIM) loss

Learning Blind Video Temporal Consistency (ECCV 2018)

LPIPS metric. pip install lpips

code, data and result

Jupyter notebook version of "Continuous-time Intensity Estimation Using Event Cameras"

This repository provides software to our publication "Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation", BMVC 2016

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).

Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).

PyTorch deep learning projects made easy.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.