Research

Papers for “image classification”

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

Title	Authors	Year	Source
Disrupting Model Training with Adversarial Shortcuts	Ivan Evtimov, Ian Covert, Aditya Kusupati	2021	arxiv 2106.06654
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder	Zichuan Chen, Peng Liu	2021	arxiv 2109.14795
Universal Adversarial Perturbations: Efficiency on a small image dataset	Waris Radji	2022	arxiv 2210.04591
Combining Deep Learning with Good Old-Fashioned Machine Learning	Moshe Sipper	2022	arxiv 2207.03757
Fuzzy Rules and Evidence Theory for Satellite Image Analysis	Arijit Laha, J. Das	2011	arxiv 1104.1485
Data Representation using the Weyl Transform	Qiang Qiu, Andrew Thompson, Robert Calderbank	2014	arxiv 1412.6134
Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey	Li Wang, Dennis Sng	2015	arxiv 1512.03131
Deep Roto-Translation Scattering for Object Classification	Edouard Oyallon, Stéphane Mallat	2014	arxiv 1412.8659
Adversarial Examples for Semantic Image Segmentation	Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen	2017	arxiv 1703.01101
Shape-Color Differential Moment Invariants under Affine Transformations	Hanlin Mo, Shirui Li, You Hao	2017	arxiv 1706.04382
A Supervised STDP-based Training Algorithm for Living Neural Networks	Yuan Zeng, Kevin Devincentis, Yao Xiao	2017	arxiv 1710.10944
Automatic discovery of discriminative parts as a quadratic assignment problem	Ronan Sicre, Julien Rabin, Yannis Avrithis	2016	arxiv 1611.04413
Knowledge distillation using unlabeled mismatched images	Mandar Kulkarni, Kalpesh Patil, Shirish Karande	2017	arxiv 1703.07131
Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions	Alex Kouzemtchenko	2018	arxiv 1806.09035
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision	Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen	2018	arxiv 1807.00453
Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent	Frederik Köhne, Leonie Kreis, Anton Schiela	2023	arxiv 2311.16956
Quantum Enhanced Filter: QFilter	Parfait Atchade-Adelomou, Guillermo Alonso-Linaje	2021	arxiv 2104.03418
Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer	Catherine F. Higham, Adrian Bedford	2021	arxiv 2107.08710
QDNN: DNN with Quantum Neural Network Layers	Chen Zhao, Xiao-Shan Gao	2019	arxiv 1912.12660
VNODE: A Piecewise Continuous Volterra Neural Network	Siddharth Roheda, Aniruddha Bala, Rohit Chowdhury	2025	arxiv 2509.24659

Search results