MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
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Updated
Dec 24, 2021 - Python
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
This repository contains the source code of our work on designing efficient CNNs for computer vision
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
ImageNet file xml format to Darknet text format
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
PyTorch Implementation of SOTA SSL methods
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"
ImageNet-1K data download, processing for using as a dataset
Object Detection for Video with MXNet and GluonCV using YOLOv3
A Distributed ResNet on multi-machines each with one GPU card.
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
"Exploring Simple Siamese Representation Learning" PyTorch implementation
Tensorflow Faster R-CNN for Windows and Python 3.5
Creates subsets of ImageNet (e.g. ImageNet100)
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
[TPAMI-22] Bottom-up, voting based video object detection method
Artificial Intelligence in Assistive Technology. Using AI and Machine Learning we can redefine what vision means for visually impaired or blind.
Scripts for building the ILSVR classification and localization training, validation, and testing data sets
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