Defending Against Physically Realizable Attacks on Image Classification

[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI

[CVPR 2024 & NeurIPS 2024] EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

Image Super-Resolution as a Defense Against Adversarial Attacks

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

Codebase for Image Classification Research, written in PyTorch.

ResNet50 pretrained transfer learning for CIFAR100 in Pytorch

这是一个resnet-50的pytorch实现的库，在MNIST数据集上进行训练和测试。

Train&prediction of Cifar10 dataset using Resnet50 - Python-Keras

基于ResNet50的全卷积图像分类，采用Cifar10数据集

使用迁移学习将resnet50用于垃圾分类，基于【华为云人工智能大赛·垃圾分类挑战杯】

This repo shows how to finetune a ResNet50 model for your own data using Keras.

Image Denoising and Classification using Machine Learning . Can detect saltpepper/speckle/gaussian/Rayleigh/uniform/exponential noises , and apply the best filter to denoise the image . Canny Edge …