neka-nat / pytorch-hdml
Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch
☆28Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-hdml
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 4 years ago
- (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliar…☆61Updated 4 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 5 years ago
- code for ICCV19 paper "Deep Meta Metric Learning"☆109Updated 4 months ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆93Updated 5 years ago
- Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…☆53Updated 3 years ago
- Caffe implementation of CVPR2019 paper "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval"☆43Updated 5 years ago
- Gated Mixture Second-order Pooling☆21Updated 5 years ago
- [VisDA-2020 (ECCVW)] Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID (Top-performing Solution).☆59Updated 4 years ago
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆151Updated 4 years ago
- Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.☆103Updated 2 years ago
- ☆44Updated 5 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆64Updated 6 years ago
- This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".☆44Updated 4 years ago
- Implementation of method described in http://openaccess.thecvf.com/content_ICCV_2019/papers/Le_Cacheux_Modeling_Inter_and_Intra-Class_Rel…☆32Updated 4 years ago
- (CVPR 2020) Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition☆41Updated 3 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 4 years ago
- Orderless Recurrent Models for Multi-label Classification☆43Updated 4 years ago
- Implementation of "Spectral Feature Tansformation for Person Re-identification"☆32Updated 5 years ago
- ☆68Updated 3 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆44Updated 4 years ago
- This is the pytorch implementation of our BMVC 2019 paper "Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Prac…☆24Updated 5 years ago
- This is a pytorch version for Non-local Neural Networks(onging)☆27Updated 5 years ago
- Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020☆62Updated 5 months ago
- pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes☆25Updated 4 years ago
- My implementation of Spectral-Feature-Transformation-ReID, link to the paper: https://arxiv.org/abs/1811.11405☆20Updated 5 years ago
- A implementation of triplet loss with Pytorch☆16Updated 6 years ago
- Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.☆39Updated 6 years ago
- Progressive Transfer Learning for Person Re-identification published on IJCAI-2019☆26Updated 5 years ago