Tim's starred repositories
google-research
Google Research
SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
awesome-cbir-papers
📝Awesome and classical image retrieval papers
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
pynndescent
A Python nearest neighbor descent for approximate nearest neighbors
google-landmark
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
deep-image-retrieval
End-to-end learning of deep visual representations for image retrieval
Compact-Transformers
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
manifold-diffusion
Diffusion on manifolds for image retrieval
RerankingTransformer
[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers
tvm-cuda-int8-benchmark
Benchmark of TVM quantized model on CUDA
image-retrieval
Instance-level image retrieval, used in street-to-shop scene. Leveraging large-scale noisy data, and clean it automatically. Learning R-MAC descriptors using a larger network such as ResNet101. Train with a siamese architecture to optimize a triplet loss.
keras_rmac_plus
Keras implementation of R-MAC+ descriptors
unsupervised-image-retrieval
Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder
DOLG-paddle
Paddle Implementation of DOLG (ICCV 2021)
HybridModel-GradCAM
A Keras implementation of hybrid efficientnet swin transformer model.
modelcompression
Code for Model Compression [ADOBE]