MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
翻译 - 餐点V2：在没有技巧的情况下将ImageNet上的Vanilla ResNet-50提高到80％+ Top-1准确性
This repository contains the source code of our work on designing efficient CNNs for computer vision
#计算机科学#Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
ImageNet-1K data download, processing for using as a dataset
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
#计算机科学#SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
PyTorch Implementation of SOTA SSL methods
翻译 - SOTA SSL 方法的 PyTorch 实现
A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
Code for the paper "A Study of Face Obfuscation in ImageNet"
#数据仓库#Object Detection for Video with MXNet and GluonCV using YOLOv3
We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.
A Distributed ResNet on multi-machines each with one GPU card.
#计算机科学#Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
#自然语言处理#Deep Learning model which uses Computer Vision and NLP to generate captions for images
#计算机科学#Creates subsets of ImageNet (e.g. ImageNet100)
#计算机科学#A demo for mapping class labels from ImageNet to COCO.
#计算机科学#[TPAMI-22] Bottom-up, voting based video object detection method