Research

Papers for “image classification”

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

Title	Authors	Year	Source
Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings	Jinyung Hong, Yearim Kim, Keun Hee Park	2024	arxiv 2411.18645
Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification	Seyd Teymoor Seydi, Zavareh Bozorgasl, Hao Chen	2024	arxiv 2406.07869
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification	Fang Peng, Xiaoshan Yang, Linhui Xiao	2022	arxiv 2211.16191
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification	Yannick Emonds, Kai Xi, Holger Fröning	2024	arxiv 2401.05820
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification	Vanika Singhal, Angshul Majumdar	2019	arxiv 1912.10804
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification	Archit Rathod, Veer Pariawala, Mokshit Surana	2023	arxiv 2311.13531
A Novel Deep Learning Architecture for Testis Histology Image Classification	Chia-Yu Kao, Leonard McMillan	2017	arxiv 1707.05809
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique	Masahiro Oda, Takefumi Yamaguchi, Hideki Fukuoka	2020	arxiv 2005.01433
MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework	Zhenkai Qin, Feng Zhu, Huan Zeng	2025	arxiv 2504.13574
Data Augmentation Vision Transformer for Fine-grained Image Classification	Chao Hu, Liqiang Zhu, Weibin Qiu	2022	arxiv 2211.12879
Unsupervised Deep Transfer Feature Learning for Medical Image Classification	Euijoon Ahn, Ashnil Kumar, Dagan Feng	2019	arxiv 1903.06342
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification	Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi	2021	arxiv 2111.14271
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification	Suraj Kothawade, Atharv Savarkar, Venkat Iyer	2022	arxiv 2210.01520
Recurrent Neural Networks to Correct Satellite Image Classification Maps	Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka	2016	arxiv 1608.03440
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken	Peifu Liu, Tingfa Xu, Jie Wang	2024	arxiv 2407.07307
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification	Shuai Li, Xiaoguang Ma, Shancheng Jiang	2024	arxiv 2403.06798
Multi-Level Correlation Network For Few-Shot Image Classification	Yunkai Dang, Min Zhang, Zhengyu Chen	2024	arxiv 2412.03159
Generative Classifiers as a Basis for Trustworthy Image Classification	Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe	2020	arxiv 2007.15036
Match Them Up: Visually Explainable Few-shot Image Classification	Bowen Wang, Liangzhi Li, Manisha Verma	2020	arxiv 2011.12527
CURL: Co-trained Unsupervised Representation Learning for Image Classification	Simone Bianco, Gianluigi Ciocca, Claudio Cusano	2015	arxiv 1505.08098

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