resnet50

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

慧眼识垃圾系统——垃圾分类全套技术方案

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.

ResNet-ZCA (Journal of Infrared Physics & Technology 2019, Highly Cited Paper), MatLab

EPIC-KITCHENS-55 baselines for Action Recognition

Multiclass image classification using Convolutional Neural Network

I3D features extractor with resnet50 backbone

Takes 2 images and says how similar they are based on Euclidean distance of feature vectors

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

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。

Content-Based Image Retrieval (CBIR) using Faiss (Facebook) and many different feature extraction methods ( VGG16, ResNet50, Local Binary Pattern, RGBHistogram)

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).

Our Solution of the Flipkart Grid Challenge

✨ PicTrace is an advanced Python-based web application that allows users to find visually similar images from a comprehensive photo archive. Leveraging the power of deep learning and modern image processing techniques, PicTrace delivers fast and accurate search functionality that is ideal for tasks such as cataloging...

ArchitecturalStyle Recognition is a image classifier of 25 different architectural styles, using deep learning.

Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)

Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".

Training code for ChineseFoodNet dataset. 对ChineseFoodNet数据集的训练代码