Research

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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
Learning to Detect Malicious Clients for Robust Federated Learning	Suyi Li, Yong Cheng, Wei Wang	2020	arxiv 2002.00211
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study	Ahmed Alqaraawi, Martin Schuessler, Philipp Wei\ss	2020	arxiv 2002.00772
RAID: Randomized Adversarial-Input Detection for Neural Networks	Hasan Ferit Eniser, Maria Christakis, Valentin Wüstholz	2020	arxiv 2002.02776
Depthwise-STFT based separable Convolutional Neural Networks	Sudhakar Kumawat, Shanmuganathan Raman	2020	arxiv 2001.09912
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence	Indranil Chakraborty, Deboleena Roy, Isha Garg	2019	arxiv 1906.01493
pix2rule: End-to-end Neuro-symbolic Rule Learning	Nuri Cingillioglu, Alessandra Russo	2021	arxiv 2106.07487
Sparse Subspace Clustering for Concept Discovery (SSCCD)	Johanna Vielhaben, Stefan Blücher, Nils Strodthoff	2022	arxiv 2203.06043
VisCUIT: Visual Auditor for Bias in CNN Image Classifier	Seongmin Lee, Zijie J. Wang, Judy Hoffman	2022	arxiv 2204.05899
Can An Image Classifier Suffice For Action Recognition?	Quanfu Fan, Chun-Fu (Richard) Chen, Rameswar Panda	2021	arxiv 2106.14104
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images	Spiridon Kasapis, Geng Zhang, Jonathon Smereka	2020	arxiv 2010.00721

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