cvjena / semantic-embeddings
Hierarchy-based Image Embeddings for Semantic Image Retrieval
☆263Updated 3 years ago
Related projects: ⓘ
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆263Updated 4 years ago
- Code for "MultiGrain: a unified image embedding for classes and instances"☆230Updated 4 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆247Updated 3 years ago
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆342Updated 2 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆181Updated 4 years ago
- Diffusion on manifolds for image retrieval☆126Updated 4 years ago
- ☆101Updated last year
- ☆466Updated this week
- Semi-supervised ImageNet1K models☆241Updated 4 years ago
- A library for ML benchmarking. It's powerful.☆426Updated 8 months ago
- CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission☆63Updated 4 years ago
- Pretrained bag-of-local-features neural networks☆311Updated 5 years ago
- ☆350Updated 4 years ago
- PyTorch conversion of https://omoindrot.github.io/triplet-loss☆212Updated last year
- Learning to Cluster. A deep clustering strategy.☆313Updated 4 years ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆95Updated 2 years ago
- PyTorch Implementation for SoftTriple Loss☆203Updated last month
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆251Updated 6 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Updated 2 years ago
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆164Updated last year
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆83Updated last year
- PyTorch Implementation for Deep Metric Learning Pipelines☆575Updated 4 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆208Updated 5 years ago
- RMAC implementation in Keras☆83Updated 6 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆144Updated 4 years ago
- Efficient Diffusion for Image Retrieval☆221Updated 4 years ago
- A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).☆274Updated last month
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Updated 6 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆491Updated last year
- ☆371Updated 5 years ago