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
Convolutional Neural Network Pruning Using Filter Attenuation	Morteza Mousa-Pasandi, Mohsen Hajabdollahi, Nader Karimi	2020	arxiv 2002.03299
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records	Amirsina Torfi, Edward A. Fox	2020	arxiv 2001.09346
Training Quantized Neural Networks with a Full-precision Auxiliary Module	Bohan Zhuang, Lingqiao Liu, Mingkui Tan	2019	arxiv 1903.11236
Post-Training Piecewise Linear Quantization for Deep Neural Networks	Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz	2020	arxiv 2002.00104
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network	Jungkyu Lee, Taeryun Won, Tae Kwan Lee	2020	arxiv 2001.06268
Teacher-Student Compression with Generative Adversarial Networks	Ruishan Liu, Nicolo Fusi, Lester Mackey	2018	arxiv 1812.02271
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection	Jianyuan Guo, Kai Han, Yunhe Wang	2020	arxiv 2003.11818
Adaptive Adversarial Attack on Scene Text Recognition	Xiaoyong Yuan, Pan He, Xiaolin Andy Li	2018	arxiv 1807.03326
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments	Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas	2020	arxiv 2004.05703
A Hybrid Method for Training Convolutional Neural Networks	Vasco Lopes, Paulo Fazendeiro	2020	arxiv 2005.04153