kunhe / Deep-Metric-Learning-Baselines
PyTorch Implementation for Deep Metric Learning Pipelines
☆22Updated 5 years ago
Alternatives and similar repositories for Deep-Metric-Learning-Baselines
Users that are interested in Deep-Metric-Learning-Baselines are comparing it to the libraries listed below
Sorting:
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆152Updated 5 years ago
- code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"☆199Updated 4 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
- A flexible tool for building and sharing deep learning modules.☆44Updated 6 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
- Code for 'Regional Attention Based Deep Feature for Image Retrieval (BMVC 2018)' https://sglab.kaist.ac.kr/RegionalAttention/☆84Updated last year
- Code for Switchable Whitening (ICCV2019)☆137Updated 5 years ago
- Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.☆103Updated 2 years ago
- (CVPR 2020) Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition☆41Updated 3 years ago
- PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020☆176Updated 3 years ago
- Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020☆63Updated 11 months ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆96Updated 3 years ago
- Paddle Implementation of DOLG (ICCV 2021)☆44Updated 2 years ago
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆83Updated 2 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 6 years ago
- Semi-supervised Adaptive Distillation is a model compression method for object detection.☆59Updated 5 years ago
- Implementation of “Dynamic Context Correspondence Network for Semantic Alignment” (ICCV 2019)☆25Updated 4 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- Code for Unsupervised Part-based Weighting Aggregation of Deep Convolutional Features for Image Retrieval☆45Updated 6 years ago
- ☆138Updated 2 years ago
- Gated Mixture Second-order Pooling☆21Updated 5 years ago
- ☆86Updated 4 years ago
- Caffe implementation of CVPR2019 paper "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval"☆43Updated 5 years ago
- Implementation of "Spectral Feature Tansformation for Person Re-identification"☆31Updated 5 years ago
- Multi-Domain Image Retrieval☆27Updated last year
- Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.☆39Updated 7 years ago
- Code for calculating the upper bound AP in object detection☆81Updated 5 years ago
- Self-Erasing Network for Integral Object Attention☆54Updated 6 years ago
- This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".☆45Updated 5 years ago
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Updated 3 years ago