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anttestdemo

awesome-deep-neural-network-compression

Summary, Code for Deep Neural Network Quantization

awesome-facereenactment

papers about FACE REENACTMENT

cameraviewer

视频监控系统-监控端

commons_codec

cs-kd

Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)

ddgsd-pytorch

(Unofficial) Data-Distortion Guided Self-Distillation for Deep Neural Networks (AAAI 2019)

designpatterncoursedesign

基于Spring MVC的demo，包含几篇介绍web开发的博客，用于设计模式课设

face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

freenet

FReeNet: Multi-Identity Face Reenactment, CVPR'20

frskd

Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)

grammaranalyse

ics2017-pa

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

mdistiller

A Knowledge Distillation Toolbox. The official implementation of https://arxiv.org/abs/2203.08679

monkey-net

Animating Arbitrary Objects via Deep Motion Transfer

nuaa_check_action

inuaa打卡，基于GitHub Action的南航校外打卡

opencv_socket_demo

prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

ps-kd-pytorch

Official PyTorch implementation of PS-KD

pytorch-self-distillation-final

real_time_image_animation

The Project is real time application in opencv using first order model

self-kd-lib

[ECCV-2022] Official implementation of MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition && Pytorch Implementations of some Self-Knowledge Distillation and data augmentation methods

simswap

The official project of SimSwap (ACM MM 2020)

teacher-free-knowledge-distillation

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

zipfls

This repo is the official megengine implementation of the ECCV2022 paper: Efficient One Pass Self-distillation with Zipf's Label Smoothing.