serendipitywgy

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Language:PythonMIT1056000

ABM

Language:Python9900

Ada-CM

“Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin”, CVPR 2022.

Language:Python6100

SPANet

The implementation for "Salient Positions based Attention Network for Image Classification"

Language:PythonMIT1900

MANet

Language:Python900

Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Language:PythonMIT19300

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

200

Emotion_detection_with_CNN

Language:PythonApache-2.05500

Amend-Representation-Module

ARM - Official PyTorch Implementation

Language:PythonMIT5700

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Language:PythonMIT1147700

Convolution

Language:Python9300

ACNet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Language:PythonMIT83100

ResNet18-GhostNet

ResNet with Ghost Modules.

Language:PythonMIT1100

DAN

Official implementation of DAN

Language:PythonMIT16600

Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

Language:Python71500