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.
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
EPIC-KITCHENS-55 baselines for Action Recognition
Takes 2 images and says how similar they are based on Euclidean distance of feature vectors
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).
Our Solution of the Flipkart Grid Challenge
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
Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)
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
Training code for ChineseFoodNet dataset. 对ChineseFoodNet数据集的训练代码
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