SOTA2 Research · papers

Papers for “image classification”

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20 indexed

Title	Authors	Year	Source
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods	Francis Brochu	2019	arxiv 1907.12892
Improved Mix-up with KL-Entropy for Learning From Noisy Labels	Qian Zhang, Feifei Lee, Ya-Gang Wang	2019	arxiv 1908.05488
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples	Marcus Soll, Tobias Hinz, Sven Magg	2019	arxiv 1908.07899
Incremental Learning Techniques for Semantic Segmentation	Umberto Michieli, Pietro Zanuttigh	2019	arxiv 1907.13372
Large e-retailer image dataset for visual search and product classification	Arnaud Bellétoile	2019	arxiv 1909.08612
Augmenting learning using symmetry in a biologically-inspired domain	Shruti Mishra, Abbas Abdolmaleki, Arthur Guez	2019	arxiv 1910.00528
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition	Satoshi Tsutsui, Yanwei Fu, David Crandall	2019	arxiv 1911.07164
A Generalization Theory based on Independent and Task-Identically Distributed Assumption	Guanhua Zheng, Jitao Sang, Houqiang Li	2019	arxiv 1911.12603
Improve Unsupervised Domain Adaptation with Mixup Training	Shen Yan, Huan Song, Nanxiang Li	2020	arxiv 2001.00677
Embedding of FRPN in CNN architecture	Alberto Rossi, Markus Hagenbuchner, Franco Scarselli	2019	arxiv 2001.05851