Classification models trained on ImageNet. Keras.
This repository contains the source code of our work on designing efficient CNNs for computer vision
#计算机科学#Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Con...
Multi-label classification based on timm.
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
ImageNet model implemented using the Keras Functional API
ImageNet model implemented using the Keras Functional API
Multi-label classification based on timm, and add SimCLR to timm.
A codebase & model zoo for pretrained backbone based on MegEngine.
A codebase & model zoo for pretrained backbone based on MegEngine.
PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
#计算机科学#Identify objects in images using a third-generation deep residual network.
#计算机科学#Identify objects in images using a third-generation deep residual network.
#安卓#Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API