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
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
#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