Research

Papers for “image classification”

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

Title	Authors	Year	Source
Formal Verification of Deep Neural Networks for Object Detection	Yizhak Y. Elboher, Avraham Raviv, Yael Leibovich Weiss	2024	arxiv 2407.01295
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training	Ameera Bawazir, Kebin Wu, Wenbin Li	2024	arxiv 2411.15207
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification	Eugene Choi, Julian Rodriguez, Edmund Young	2024	arxiv 2412.19391
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras	Chae Young Lee, Pu (Luke) Yi, Maxwell Fite	2025	arxiv 2501.10547
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization	Kelvin Kan, Xingjian Li, Stanley Osher	2025	arxiv 2501.18793
A Priori Generalizability Estimate for a CNN	Cito Balsells, Beatrice Riviere, David Fuentes	2025	arxiv 2502.17622
Stochastic Gradient Sampling for Enhancing Neural Networks Training	Juyoung Yun	2023	arxiv 2310.17042
LipShiFT: A Certifiably Robust Shift-based Vision Transformer	Rohan Menon, Nicola Franco, Stephan Günnemann	2025	arxiv 2503.14751
Confusable Learning for Large-class Few-Shot Classification	Bingcong Li, Bo Han, Zhuowei Wang	2020	arxiv 2011.03154
Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks?	Roger Granda, Tinne Tuytelaars, Jose Oramas	2020	arxiv 2010.15974
PyTorch-Hebbian: facilitating local learning in a deep learning framework	Jules Talloen, Joni Dambre, Alexander Vandesompele	2021	arxiv 2102.00428
Multi-Instance Learning by Utilizing Structural Relationship among Instances	Yangling Ma, Zhouwang Yang	2021	arxiv 2102.01889
Tent: Fully Test-time Adaptation by Entropy Minimization	Dequan Wang, Evan Shelhamer, Shaoteng Liu	2020	arxiv 2006.10726
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations	Alex Wong, Mukund Mundhra, Stefano Soatto	2020	arxiv 2009.10142
Reinforced Attention for Few-Shot Learning and Beyond	Jie Hong, Pengfei Fang, Weihao Li	2021	arxiv 2104.04192
Submodular Mutual Information for Targeted Data Subset Selection	Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan	2021	arxiv 2105.00043
Positive-Congruent Training: Towards Regression-Free Model Updates	Sijie Yan, Yuanjun Xiong, Kaustav Kundu	2020	arxiv 2011.09161
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding	Pengchuan Zhang, Xiyang Dai, Jianwei Yang	2021	arxiv 2103.15358
AutoSampling: Search for Effective Data Sampling Schedules	Ming Sun, Haoxuan Dou, Baopu Li	2021	arxiv 2105.13695
MLP-Mixer: An all-MLP Architecture for Vision	Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov	2021	arxiv 2105.01601

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