Hcn Prototypeloss PytorchHierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)
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Mutual labels: metric-learning
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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Mutual labels: metric-learning
Magnetloss PytorchPyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
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Mutual labels: metric-learning
Metric LearnMetric learning algorithms in Python
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Mutual labels: metric-learning
PvsePolysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
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Mutual labels: metric-learning
SegsortSegSort: Segmentation by Discriminative Sorting of Segments
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Mutual labels: metric-learning
Negative Margin.few ShotPyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
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Mutual labels: metric-learning
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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Mutual labels: metric-learning
Open ReidOpen source person re-identification library in python
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Mutual labels: metric-learning
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
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Mutual labels: metric-learning
Deep metric learningDeep metric learning methods implemented in Chainer
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Mutual labels: metric-learning
Open UcnThe first fully convolutional metric learning for geometric/semantic image correspondences.
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Mutual labels: metric-learning
CatalystAccelerated deep learning R&D
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Mutual labels: metric-learning
Prototypical NetworksCode for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
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Mutual labels: metric-learning
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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Mutual labels: metric-learning
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Mutual labels: metric-learning
Metric Learning Divide And ConquerSource code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
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Mutual labels: metric-learning
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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Mutual labels: metric-learning
