Research

Papers for “image classification”

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

Title	Authors	Year	Source
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization	Yubin Ge, Site Li, Xuyang Li	2021	arxiv 2105.00101
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching	Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra	2021	arxiv 2102.03919
A framework for the automation of testing computer vision systems	Franz Wotawa, Lorenz Klampfl, Ledio Jahaj	2021	arxiv 2105.04383
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments	Martin Schuessler, Philipp Wei\ss, Leon Sixt	2021	arxiv 2105.02825
Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification	Pengxiang Gao, Yihao Liang, Yanzhi Song	2025	arxiv 2504.13608
Synthetic Similarity Search in Automotive Production	Christoph Huber, Ludwig Schleeh, Dino Knoll	2025	arxiv 2505.07256
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead	Won-Jun Jang, Hyeon-Seo Park, Si-Hyeon Lee	2025	arxiv 2502.06349
Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision	Pengcheng Pan, Yonekura Shogo, Yasuo Kuniyoshi	2025	arxiv 2505.13191
KITINet: Kinetics Theory Inspired Network Architectures with PDE Simulation Approaches	Mingquan Feng, Yifan Fu, Tongcheng Zhang	2025	arxiv 2505.17919
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models	Xueyan Zhang, Jinman Zhao, Zhifei Yang	2025	arxiv 2505.20154
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning	Chen Shu, Boyu Fu, Yiman Li	2025	arxiv 2505.12074
MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification	Yang Qiao, Xiaoyu Zhong, Xiaofeng Gu	2025	arxiv 2505.23365
Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models	Francesco De Santis, Philippe Bich, Gabriele Ciravegna	2025	arxiv 2506.02092
Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization	Xinyu Luo, Cedar Site Bai, Bolian Li	2025	arxiv 2506.06606
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor	Ethan Lin, Linxi Zhao, Atharva Sehgal	2025	arxiv 2507.03542
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention	Peng Zhang, Zhihui Lai, Wenting Chen	2025	arxiv 2511.12215
PROFIT: A Specialized Optimizer for Deep Fine Tuning	Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang	2024	arxiv 2412.01930
Adaptive Stepsizing for Stochastic Gradient Langevin Dynamics in Bayesian Neural Networks	Rajit Rajpal, Benedict Leimkuhler, Yuanhao Jiang	2025	arxiv 2511.11666
Vision Large Language Models Are Good Noise Handlers in Engagement Analysis	Alexander Vedernikov, Puneet Kumar, Haoyu Chen	2025	arxiv 2511.14749
Minimax Multi-Target Conformal Prediction with Applications to Imaging Inverse Problems	Jeffrey Wen, Rizwan Ahmad, Philip Schniter	2025	arxiv 2511.13533

Search results