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

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

EPIC-KITCHENS-55 baselines for Action Recognition

I3D features extractor with resnet50 backbone

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

Scripts to work with LMDB + PyTorch for Imagenet training

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。

Our Solution of the Flipkart Grid Challenge

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

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).

Image Similarity search build on Milvus

Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development

use SVM and PCA_ResNet50 to classify HSI

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

🔎 PicTrace is a highly efficient image matching platform that leverages computer vision using OpenCV, deep learning with TensorFlow and the ResNet50 model, asynchronous processing with aiohttp, and the FastAPI web framework for rapid and accurate image search.

Image captioning model with Resnet50 encoder and LSTM decoder

Image captioning model with Resnet50 encoder and LSTM decoder

Web Based Image Recognition System in Python Flask

基于python和resnet50实现的垃圾分类