SOTA2 Research · papers

Papers for “image classification”

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

Search results

20 indexed

Title	Authors	Year	Source
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios	Filip Pa\lka, Wojciech Ksią\.zek, Pawe\l P\lawiak	2020	arxiv 2011.02188
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network	Wenjia Xu, Guangluan Xu, Yang Wang	2020	arxiv 2010.00472
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints	Gabriel Hope, Madina Abdrakhmanova, Xiaoyin Chen	2020	arxiv 2012.06718
DSM Refinement with Deep Encoder-Decoder Networks	Nando Metzger	2020	arxiv 2012.07427
Learning task-agnostic representation via toddler-inspired learning	Kwanyoung Park, Junseok Park, Hyunseok Oh	2021	arxiv 2101.11221
Ensembles of feedforward-designed convolutional neural networks	Yueru Chen, Yijing Yang, Wei Wang	2019	arxiv 1901.02154
A Direct Approach to Robust Deep Learning Using Adversarial Networks	Huaxia Wang, Chun-Nam Yu	2019	arxiv 1905.09591
Characterizing Bias in Classifiers using Generative Models	Daniel McDuff, Shuang Ma, Yale Song	2019	arxiv 1906.11891
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo	Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro	2018	arxiv 1805.04756
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network	Weixia Zhang, Kede Ma, Jia Yan	2019