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awesome-weakly-supervised-semantic-segmentation-papers

Recent weakly supervised semantic segmentation paper

basicirstd

BasicIRSTD toolbox

cdfag

Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition (Complexity 2018)

cm-unet

dive-into-cv-pytorch

动手学CV-Pytorch版

dynamic_multi-task-learning

Multi-Task Learning Using Dynamic Weights of Tasks for Face Recognition withFacial Expression

efficientface

“Robust Lightweight Facial Expression Recognition Network with Label Distribution Training”, AAAI 2021.

emopy

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

facelib

Face Detection & Age Gender & Expression & Recognition

facerecognition

基于TensorFlow的人脸识别卷积神经网络

facial-expression-recognition

Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

hello

this is a test project

infdetnet

isnet

CVPR2022 ''ISNet: Shape Matters for Infrared Small Target Detection''

microexpnet

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

optimum-receiver-simulation

MATLAB Simulation of Optimum Receiver for Detecting BPSK and BFSK Signals

pyqt_practice

通过可直接运行的代码示例讲解 PyQt 5 常用基础控件。附学习资源、demo分享。

pytorch-tutorial

PyTorch深度学习快速入门教程（绝对通俗易懂！）

real-time-facial-expression-recognition-and-fast-face-detection

Real-time facial expression recognition and fast face detection based on Keras CNN. Training and testing on both Fer2013 and CK+ facial expression data sets have achieved good results. The speed is 78 fps on NVIDIA 1080Ti. If only face detection is performed, the speed can reach 158 fps. Finally, an emotional monitoring system was developed based on it.

seggen

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. https://seggenerator.github.io/

vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

zihao_course

同济子豪兄的公开课