Pinned Repositories
CM-UNet
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！）
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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)
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.
abc-132's Repositories
abc-132/BasicIRSTD
BasicIRSTD toolbox
abc-132/CM-UNet
abc-132/Awesome-Weakly-Supervised-Semantic-Segmentation-Papers
Recent weakly supervised semantic segmentation paper
abc-132/Vim
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
abc-132/seggen
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. https://seggenerator.github.io/
abc-132/ISNet
CVPR2022 ''ISNet: Shape Matters for Infrared Small Target Detection''
abc-132/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
abc-132/IC9600
abc-132/zihao_course
同济子豪兄的公开课
abc-132/CDFAG
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition (Complexity 2018)
abc-132/dive-into-cv-pytorch
动手学CV-Pytorch版
abc-132/InfDetNet
abc-132/FaceLib
Face Detection & Age Gender & Expression & Recognition
abc-132/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。
abc-132/FaceRecognition
基于TensorFlow的人脸识别卷积神经网络
abc-132/hello
this is a test project
abc-132/EmoPy
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
abc-132/-
abc-132/EfficientFace
“Robust Lightweight Facial Expression Recognition Network with Label Distribution Training”, AAAI 2021.
abc-132/pytorch-tutorial
PyTorch深度学习快速入门教程（绝对通俗易懂！）
abc-132/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
abc-132/Optimum-Receiver-Simulation
MATLAB Simulation of Optimum Receiver for Detecting BPSK and BFSK Signals
abc-132/microexpnet
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
abc-132/Facial-Expression-Recognition
Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).
abc-132/Dynamic_multi-task-learning
Multi-Task Learning Using Dynamic Weights of Tasks for Face Recognition withFacial Expression
abc-132/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.