SathwikTejaswi / deep-ranking
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
☆81Updated 5 years ago
Alternatives and similar repositories for deep-ranking:
Users that are interested in deep-ranking are comparing it to the libraries listed below
- RMAC implementation in Keras☆83Updated 6 years ago
- ☆111Updated 7 years ago
- Fashion Image Retrieval with Capsule Networks☆42Updated 5 years ago
- Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf☆59Updated 5 years ago
- Wrapper of DELF Tensorflow Model☆115Updated 4 years ago
- Keras implementation of R-MAC+ descriptors☆52Updated 6 years ago
- the 2nd place solution (2018)☆14Updated 5 years ago
- Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.☆83Updated last year
- 🖼️ 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)☆156Updated 4 years ago
- This is an updated implementation of Simple image retrieval algorithm on deep-fashion dataset with pytorch☆38Updated 4 years ago
- A Siamese similarity model for image similarity☆58Updated 6 years ago
- Code for 'Regional Attention Based Deep Feature for Image Retrieval (BMVC 2018)' https://sglab.kaist.ac.kr/RegionalAttention/☆83Updated last year
- Diffusion on manifolds for image retrieval☆126Updated 5 years ago
- ☆36Updated 6 years ago
- 🌁 Image retrieval using deep learning of global descriptors.☆140Updated 7 years ago
- fast.ai starter kit for Google Landmark Retrieval 2019 challenge☆61Updated 5 years ago
- Content-based Clothing Image Retrieval Using Deep Features☆77Updated 5 years ago
- Instance-level image retrieval, used in street-to-shop scene. Leveraging large-scale noisy data, and clean it automatically. Learning R-M…☆62Updated 7 years ago
- Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder☆48Updated 7 years ago
- Bag-of-words Image Retrieval☆17Updated 7 years ago
- Image retrieval with triplet loss☆16Updated 6 years ago
- Solution of Image Retrieval Challenge in ACM MM 2019☆25Updated 5 years ago
- Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset☆39Updated 6 years ago
- Classifying cat and dog images using Kaggle dataset☆83Updated 2 months ago
- ☆73Updated 6 years ago
- Uses TensorFlow and FC2 features to match test images to the same category given a query image as input☆55Updated 7 years ago
- ☆48Updated 9 years ago
- Scene classification task in AI Challenger competition☆68Updated 7 years ago
- This project is intended to solve the task of massive image retrieval.☆55Updated 7 years ago
- Guide to the Content Based Image Retrieval☆42Updated 7 years ago