MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
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Dec 24, 2021 - Python
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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
✨ 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...
Training code for ChineseFoodNet dataset. 对ChineseFoodNet数据集的训练代码
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)
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
Image captioning model with Resnet50 encoder and LSTM decoder
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