Research

Papers for “image classification”

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

Title	Authors	Year	Source
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures	Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao	2017	arxiv 1704.00764
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models	Guilherme Vieira Neto, Marcos Eduardo Valle	2025	arxiv 2505.05659
Categorising the World into Local Climate Zones -- Towards Quantifying Labelling Uncertainty for Machine Learning Models	Katharina Hechinger, Xiao Xiang Zhu, Göran Kauermann	2023	arxiv 2309.01440
A Separable Self-attention Inspired by the State Space Model for Computer Vision	Juntao Zhang, Shaogeng Liu, Kun Bian	2025	arxiv 2501.02040
Fisher-Informed Parameterwise Aggregation for Federated Learning with Heterogeneous Data	Zhipeng Chang, Ting He, Wenrui Hao	2026	arxiv 2601.13608
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks	Rajat Saini, Nandan Kumar Jha, Bedanta Das	2020	arxiv 2006.15102
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework	Lamei Zhang, Hongwei Dong, Bin Zou	2019	arxiv 1903.09917
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks	Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti	2024	arxiv 2407.17108
Bridge the Modality and Capability Gaps in Vision-Language Model Selection	Chao Yi, Yu-Hang He, De-Chuan Zhan	2024	arxiv 2403.13797
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models	Hui Lin, Chao Zhang, Danfeng Hong	2025	arxiv 2501.02461
Are LSTMs Good Few-Shot Learners?	Mike Huisman, Thomas M. Moerland, Aske Plaat	2023	arxiv 2310.14139
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning	Yu Kobayashi, Hideaki Iiduka	2020	arxiv 2003.00231
Evaluating the Progress of Deep Learning for Visual Relational Concepts	Sebastian Stabinger, Peer David, Justus Piater	2020	arxiv 2001.10857
Joint Learning of Localized Representations from Medical Images and Reports	Philip Müller, Georgios Kaissis, Congyu Zou	2021	arxiv 2112.02889
Observations on K-image Expansion of Image-Mixing Augmentation for Classification	Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo	2021	arxiv 2110.04248
The challenge of representation learning: Improved accuracy in deep vision models does not come with better predictions of perceptual similarity	Fritz Günther, Marco Marelli, Marco Alessandro Petilli	2023	arxiv 2303.07084
Study of Residual Networks for Image Recognition	Mohammad Sadegh Ebrahimi, Hossein Karkeh Abadi	2018	arxiv 1805.00325
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions	Lex Fridman, Li Ding, Benedikt Jenik	2017	arxiv 1710.04459
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training	Lucas Pascal, Xavier Bost, Benoît Huet	2019	arxiv 1909.12916
Transductive Zero-Shot Learning for 3D Point Cloud Classification	Ali Cheraghian, Shafin Rahman, Dylan Campbell	2019	arxiv 1912.07161

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