This repository contains the source code of our work on designing efficient CNNs for computer vision
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Updated
Dec 19, 2022 - Python
This repository contains the source code of our work on designing efficient CNNs for computer vision
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
PyTorch Implementation of SOTA SSL methods
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
ImageNet file xml format to Darknet text format
Code for the paper "A Study of Face Obfuscation in ImageNet"
"Exploring Simple Siamese Representation Learning" PyTorch implementation
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Tensorflow Faster R-CNN for Windows and Python 3.5
A Distributed ResNet on multi-machines each with one GPU card.
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
Scripts for building the ILSVR classification and localization training, validation, and testing data sets
Object Detection for Video with MXNet and GluonCV using YOLOv3
ImageNet-1K data download, processing for using as a dataset
[TPAMI-22] Bottom-up, voting based video object detection method
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
Simple application of VGG16 for the recognition of images, obtained from LFW, of a limited number of famous(15) with good performance (greater than 80%)
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