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Expand file tree Collapse file tree Original file line number Diff line number Diff line change @@ -159,8 +159,10 @@ Research Paper | Datasets | Metric | Source Code | Year
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160160[ Dynamic Routing Between Capsules] ( https://arxiv.org/pdf/1710.09829.pdf ) | MNIST | Test Error: 0.25±0.005 | <ul ><li > [ PyTorch] ( https://github.com/gram-ai/capsule-networks ) </li ><li > [ Tensorflow] ( https://github.com/naturomics/CapsNet-Tensorflow ) </li ><li > [ Keras] ( https://github.com/XifengGuo/CapsNet-Keras ) </li ><li >[ Chainer] ( https://github.com/soskek/dynamic_routing_between_capsules ) </li ></ul > | 2017
161161[ High-Performance Neural Networks for Visual Object Classification] ( https://arxiv.org/pdf/1102.0183.pdf ) | NORB | Test Error: 2.53 ± 0.40| NOT FOUND | 2011
162- [ Dynamic Routing Between Capsules ] ( https://arxiv.org/pdf/1710.09829 .pdf ) | CIFAR-10 | Test Error: 10.6 % | <ul ><li > [ PyTorch] ( https://github.com/gram-ai/capsule-networks ) </li ><li > [ Tensorflow ] ( https://github.com/naturomics/CapsNet-Tensorflow ) </ li >< li > [ Keras ] ( https://github.com/XifengGuo/CapsNet-Keras ) </ li >< li > [ Chainer ] ( https://github.com/soskek/dynamic_routing_between_capsules ) </ li ></ ul > | 2017
162+ [ Aggregated Residual Transformations for Deep Neural Networks ] ( https://arxiv.org/pdf/1611.05431 .pdf ) | CIFAR-10 | Test Error: 3.58 % | <ul ><li > [ PyTorch] ( https://github.com/facebookresearch/ResNeXt ) </li ></ ul > | 2016
163163[ Dynamic Routing Between Capsules] ( https://arxiv.org/pdf/1710.09829.pdf ) | MultiMNIST | Test Error: 5% | <ul ><li > [ PyTorch] ( https://github.com/gram-ai/capsule-networks ) </li ><li > [ Tensorflow] ( https://github.com/naturomics/CapsNet-Tensorflow ) </li ><li > [ Keras] ( https://github.com/XifengGuo/CapsNet-Keras ) </li ><li >[ Chainer] ( https://github.com/soskek/dynamic_routing_between_capsules ) </li ></ul > | 2017
164+ [ Aggregated Residual Transformations for Deep Neural Networks] ( https://arxiv.org/pdf/1611.05431.pdf ) | ImageNet-1k | Top-1 Error: 20.4% | <ul ><li > [ PyTorch] ( https://github.com/facebookresearch/ResNeXt ) </li ></ul > | 2016
165+
164166### Speech
165167#### 1. ASR
166168Research Paper | Datasets | Metric | Source Code | Year
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