MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
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Updated
Dec 24, 2021 - Python
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
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.
EPIC-KITCHENS-55 baselines for Action Recognition
ResNet-ZCA (Journal of Infrared Physics & Technology 2019, Highly Cited Paper), MatLab
Multiclass image classification using Convolutional Neural Network
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
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).
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.
Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development
Our Solution of the Flipkart Grid Challenge
ArchitecturalStyle Recognition is a image classifier of 25 different architectural styles, using deep learning.
Image Similarity search build on Milvus
Infrared Small Target Detection (IRSTD)
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