imagenet-classifier

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...

ImageNet file xml format to Darknet text format

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