Deep Image Retrieval
End-to-end learning of deep visual representations for image retrieval
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cnnimageretrieval Pytorch | 1,174 | 2 years ago | 31 | mit | Python | |||||
| CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch | ||||||||||
| Deep Image Retrieval | 329 | 3 years ago | 11 | bsd-3-clause | Python | |||||
| End-to-end learning of deep visual representations for image retrieval | ||||||||||
| Cbir | 300 | 5 years ago | 8 | Python | ||||||
| 🏞 A content-based image retrieval (CBIR) system | ||||||||||
| Mmt | 220 | 4 years ago | 4 | mit | Python | |||||
| [ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification. | ||||||||||
| Deep Ranking | 47 | 5 years ago | 2 | mit | Python | |||||
| Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same | ||||||||||
| Keras_rmac_plus | 43 | 5 years ago | 1 | Python | ||||||
| Keras implementation of R-MAC+ descriptors | ||||||||||
| Sake | 20 | 2 years ago | Python | |||||||
| Pire | 11 | 5 years ago | mit | Python | ||||||
| Adversarial queries for blocking Content-based Image Retrieval (CBIR) | ||||||||||
| Deepimageranking | 9 | 4 years ago | Python | |||||||
| Implementation of `Learning Fine-grained Image Similarity with Deep Ranking` using ResNet-101 and implemented in Pytorch | ||||||||||
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