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GPQGeneralized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
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MHCLNDeep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
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GeDMLGeneralized Deep Metric Learning.
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Pytorch Metric LearningThe easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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CondensedMoviesStory-Based Retrieval with Contextual Embeddings. Largest freely available movie video dataset. [ACCV'20]
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MoTISMobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.
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salbowSaliency Weighted Convolutional Features for Instance Search
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MinkLocMultimodalMinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
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cottontaildbCottontail DB is a column store aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.
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visual-compatibilityContext-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
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Npair loss pytorchImproved Deep Metric Learning with Multi-class N-pair Loss Objective
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UDLFAn Unsupervised Distance Learning Framework for Multimedia Retrieval
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CatalystAccelerated deep learning R&D
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simple-cnapsSource codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
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Magnetloss PytorchPyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
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Revisiting deep metric learning pytorch(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
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LucenenetApache Lucene.NET
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SegsortSegSort: Segmentation by Discriminative Sorting of Segments
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DREMLPyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)
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libfmplibfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)
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LabelRelaxation-CVPR21Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021
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AudioAlignAudio Synchronization and Analysis Tool
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FieldedSDMFielded Sequential Dependence Model (code and runs)
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SCTSCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation (CVPR2020) https://arxiv.org/abs/2003.14266
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DeclutrThe corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
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plexusPlexus - Interactive Emotion Visualization based on Social Media
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image embeddingsUsing efficientnet to provide embeddings for retrieval
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PvsePolysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
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Pytorch Image RetrievalA PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).
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SSTDA[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
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PQ-NETcode for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"
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Dml cross entropyCode for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
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Negative Margin.few ShotPyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
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shrec17Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track
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PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
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COILNAACL2021 - COIL Contextualized Lexical Retriever
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MvgcnMulti-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
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Open ReidOpen source person re-identification library in python
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beirA Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
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Metric LearnMetric learning algorithms in Python
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cineastCineast is a multi-feature content-based mulitmedia retrieval engine. It is capable of retrieving images, audio- and video sequences as well as 3d models based on edge or color sketches, textual descriptions and example objects.
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triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
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