CongWeilin / cluster-loss-tensorflowLinks
This a an impletation of Deep Metric Learning via Facility Location on tensorflow
☆35Updated 8 years ago
Alternatives and similar repositories for cluster-loss-tensorflow
Users that are interested in cluster-loss-tensorflow are comparing it to the libraries listed below
Sorting:
- Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations☆86Updated 7 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated 2 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆67Updated 4 years ago
- PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)☆67Updated 5 years ago
- This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)☆98Updated 8 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆134Updated 7 years ago
- Project page for Heated-up Softmax Embedding☆43Updated 7 years ago
- Diffusion on manifolds for image retrieval☆126Updated 6 years ago
- Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"☆98Updated 8 years ago
- Code for Decorrelated Batch Normalization☆82Updated 7 years ago
- Deep metric learning methods implemented in Chainer☆158Updated 7 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 8 years ago
- ☆10Updated 8 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 7 years ago