Paper Read List
Table of Contents
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2.1. Images
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3.1. Discussion
3.2. Models
Architectures
Keras Pre-trained Models
Title | Date | Paper | Code |
---|---|---|---|
Xception: Deep Learning with Depthwise Separable Convolutions | 7 Oct 2016 | arxiv | keras |
Very Deep Convolutional Networks for Large-Scale Image Recognition | 4 Sep 2014 | arxiv | keras |
Deep Residual Learning for Image Recognition | 10 Dec 2015 | arxiv | keras |
Identity Mappings in Deep Residual Networks | 16 Mar 2016 | arxiv | keras |
Aggregated Residual Transformations for Deep Neural Networks | 16 Nov 2016 | arxiv | keras |
Rethinking the Inception Architecture for Computer Vision | 2 Dec 2015 | arxiv | keras |
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning | 23 Feb 2016 | arxiv | keras |
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications | 17 Apr 2017 | arxiv | keras |
MobileNetV2: Inverted Residuals and Linear Bottlenecks | 13 Jan 2018 | arxiv | keras |
Learning Transferable Architectures for Scalable Image Recognition | 21 Jul 2017 | arxiv | keras |
Densely Connected Convolutional Networks | 25 Aug 2016 | arxiv | keras |
Datasets
Images
Nickname | Title | Date | Paper | Code |
---|---|---|---|---|
MNIST | Gradient-based learning applied to document recognition | Nov 1998 | lecun | lecun |
Fashion-MNIST | Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms | 25 Aug 2017 | arxiv | github |
Kuzushiji-MNIST | Deep Learning for Classical Japanese Literature | 3 Dec 2018 | arxiv | github |
CIFAR-10/100 | Learning Multiple Layers of Features from Tiny Images | 8 April 2009 | toronto | toronto |
One Shot Learning
Nickname | Title | Date | Paper | Code |
---|---|---|---|---|
One Shot Pokémon Images | NOT A PAPER | 29 May 2018 | kaggle | |
Omniglot | Human-level concept learning through probabilistic program induction | 11 Dec 2015 | MIT | github |
Mini-ImageNet | Optimization as a Model for Few-Shot Learning | 01 Mar 2017 | openreview | github |
One Shot Learning
Discussion
Title | Date | Paper | Code |
---|---|---|---|
One shot learning of simple visual concepts | 1 Jan 2011 | NYU | --- |
The Omniglot Challenge: A 3-Year Progress Report | 9 Feb 2019 | arxiv | paperswithcode |
Models
Title | Date | Paper | Code |
---|---|---|---|
Siamese Neural Networks for One-shot Image Recognition | 2015 | CMU | gtihub |
Matching Networks for One Shot Learning | 13 Jun 2016 | arxiv | paperswithcode |
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks | 9 Mar 2017 | arxiv | paperswithcode |
Prototypical Networks for Few-shot Learning | 15 Mar 2017 | arxiv | paperswithcode |