Research

Papers for “image classification”

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

Title	Authors	Year	Source
Learning to Complement with Multiple Humans	Zheng Zhang, Cuong Nguyen, Kevin Wells	2023	arxiv 2311.13172
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations	Gregor Geigle, Radu Timofte, Goran Glavaš	2023	arxiv 2306.08658
Bottleneck Transformers for Visual Recognition	Aravind Srinivas, Tsung-Yi Lin, Niki Parmar	2021	arxiv 2101.11605
Online Continual Learning For Visual Food Classification	Jiangpeng He, Fengqing Zhu	2021	arxiv 2108.06781
Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation	Ana Paula G. S. de Almeida, Flavio de Barros Vidal	2021	arxiv 2109.13885
ERDE: Entropy-Regularized Distillation for Early-exit	Martial Guidez, Stefan Duffner, Yannick Alpou	2025	arxiv 2510.04856
Zero-Shot Learning on 3D Point Cloud Objects and Beyond	Ali Cheraghian, Shafinn Rahman, Townim F. Chowdhury	2021	arxiv 2104.04980
Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content	Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad	2021	arxiv 2112.12060
SCAN: Learning to Classify Images without Labels	Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis	2020	arxiv 2005.12320
Cribriform pattern detection in prostate histopathological images using deep learning models	Malay Singh, Emarene Mationg Kalaw, Wang Jie	2019	arxiv 1910.04030
The Need for Speed: Pruning Transformers with One Recipe	Samir Khaki, Konstantinos N. Plataniotis	2024	arxiv 2403.17921
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment	Yuze Zheng, Zixuan Li, Xiangxian Li	2024	arxiv 2407.18854
Concept-based explainability for an EEG transformer model	Anders Gj\olbye, William Lehn-Schi\oler, Áshildur Jónsdóttir	2023	arxiv 2307.12745
AutoVP: An Automated Visual Prompting Framework and Benchmark	Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen	2023	arxiv 2310.08381
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images	Jing Zhang, Irving Fang, Juexiao Zhang	2024	arxiv 2403.13171
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification	Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn	2024	arxiv 2401.01448
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks	Haijiang Tian, Jingkun Yue, Xiaohong Liu	2024	arxiv 2405.07411
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach	Mohammed Alkhowaiter, Hisham Kholidy, Mnassar Alyami	2023	arxiv 2306.00314
On Evaluating the Adversarial Robustness of Semantic Segmentation Models	Levente Halmosi, Mark Jelasity	2023	arxiv 2306.14217
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification	Tao Wang, Xinlin Zhang, Yuanbo Zhou	2023	arxiv 2306.16918

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