Research

Papers for “image classification”

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

Title	Authors	Year	Source
TBD: Benchmarking and Analyzing Deep Neural Network Training	Hongyu Zhu, Mohamed Akrout, Bojian Zheng	2018	arxiv 1803.06905
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks	Wenshuo Li, Jincheng Yu, Xuefei Ning	2018	arxiv 1805.05098
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference	Kumar Shridhar, Felix Laumann, Marcus Liwicki	2019	arxiv 1901.02731
Hierarchical Auxiliary Learning	Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee	2019	arxiv 1906.00852
Neural Architecture Optimization	Renqian Luo, Fei Tian, Tao Qin	2018	arxiv 1808.07233
Learning Equivariant Representations	Carlos Esteves	2020	arxiv 2012.02771
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks	Bin Wang, Yanan Sun, Bing Xue	2019	arxiv 1903.03893
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images	Anirban Santara, Jayeeta Datta, Sourav Sarkar	2019	arxiv 1904.04547
Machine Learning Techniques to Detect and Characterise Whistler Radio Waves	Othniel J.E.Y. Konan, Amit Kumar Mishra, Stefan Lotz	2020	arxiv 2002.01244
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models	Xuhong Li, Haoyi Xiong, Yi Liu	2022	arxiv 2207.03335
Which Direction to Choose? An Analysis on the Representation Power of Self-Supervised ViTs in Downstream Tasks	Yannis Kaltampanidis, Alexandros Doumanoglou, Dimitrios Zarpalas	2025	arxiv 2509.15272
LookupViT: Compressing visual information to a limited number of tokens	Rajat Koner, Gagan Jain, Prateek Jain	2024	arxiv 2407.12753
Vision Transformers: From Semantic Segmentation to Dense Prediction	Li Zhang, Jiachen Lu, Sixiao Zheng	2022	arxiv 2207.09339
The Unreasonable Effectiveness of the Final Batch Normalization Layer	Veysel Kocaman, Ofer M. Shir, Thomas Baeck	2021	arxiv 2109.09016
GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer	Weiming Hu, Chen Li, Xiaoyan Li	2021	arxiv 2106.02473
Learned Gradient Compression for Distributed Deep Learning	Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis	2021	arxiv 2103.08870
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity	Joseph Antony, Kevin McGuinness, Kieran Moran	2019	arxiv 1908.08840
Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service	Dou Goodman	2020	arxiv 2001.03460
Guiding the retraining of convolutional neural networks against adversarial inputs	Francisco Durán López, Silverio Martínez-Fernández, Michael Felderer	2022	arxiv 2207.03689
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council	Luyang Luo, Xin Huang, Minghao Wang	2024	arxiv 2401.11713

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