zeyuxiao1997's repositories
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Awesome-Image-Colorization
:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.
Awesome-Pruning
A curated list of neural network pruning resources.
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
CODToolbox
EvaluationToolBox for Camouflaged Object Detection Task
competition-baseline
数据科学竞赛各种baseline代码、思路分享
CSWin-Transformer
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped
cutblur
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
DerainZoo
DerainZoo for collecting deraining methods, datasets, and codes.
DVC-PyTorch
A PyTorch implementation of DVC（DVC: An End-to-end Deep Video Compression Framework）
EDVR
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
Efficient-3DCNNs
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
HRNet-Facial-Landmark-Detection
High-resolution representation learning (HRNets) for facial landmark detection
MoLF
Code and Dataset for NeurIPS 2019 paper. "Memory-oriented Decoder for Light Field Salient Object Detection".
pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
real-world-sr
[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
TransBTS
This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf) , accepted by MICCAI2021.
UTNet
Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation