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Search results for pytorch implementation few shot learning
few-shot-learning
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pytorch-implementation
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7 search results found
Negative Margin.few Shot
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99
PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
Gnn_few_shot_cifar100
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68
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
Msanet
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Official Pytorch implementation of Multi-Similarity and Attention Guidence for Boosting Few-Shot Segmentation.
Denet
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26
This is the official repo for Dynamic Extension Nets for Few-shot Semantic Segmentation (ACM Multimedia 20).
Lowshot Shapebias
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Learning low-shot object classification with explicit shape bias learned from point clouds
Hcn Prototypeloss Pytorch
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10
Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)
Prototypical Networks
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5
Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.
1-7 of 7 search results
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