:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Padubidri, Chirag, Velmurugan, Pranesh, Lanitis, Andreas, Kamilaris, Andreas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2510.19305
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain Adaptation via Feature Refinement
by: Karatsiolis, Savvas, et al.
Published: (2025)

PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements
by: Thoma, Marios, et al.
Published: (2025)

Poultry Farm Intelligence: An Integrated Multi-Sensor AI Platform for Enhanced Welfare and Productivity
by: Panagi, Pieris, et al.
Published: (2025)

Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
by: Chib, Pranav Singh, et al.
Published: (2024)

DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data
by: Sadia, Rabeya Tus, et al.
Published: (2025)

SDM: A Powerful Tool for Evaluating Model Robustness
by: Liu, Xinlei, et al.
Published: (2026)

Handling imbalance and few-sample size in ML based Onion disease classification
by: Pal, Abhijeet Manoj, et al.
Published: (2025)

Upstream Probabilistic Meta-Imputation for Multimodal Pediatric Pancreatitis Classification
by: Nelson, Max A., et al.
Published: (2025)

MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling
by: Zbinden, Robin, et al.
Published: (2025)

Multimodal Federated Learning With Missing Modalities through Feature Imputation Network
by: Poudel, Pranav, et al.
Published: (2025)

MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
by: Kumar, Abhay, et al.
Published: (2019)

IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
by: Nguyen, Dang Nha, et al.
Published: (2025)

FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
by: Gunduboina, Hariseetharam, et al.
Published: (2025)

Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
by: Fung, Clement, et al.
Published: (2023)

Controlled Face Manipulation and Synthesis for Data Augmentation
by: Kirchner, Joris, et al.
Published: (2026)

FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
by: Dave, Ishan Rajendrakumar, et al.
Published: (2024)

A Transformer-based Multimodal Fusion Model for Efficient Crowd Counting Using Visual and Wireless Signals
by: Cui, Zhe, et al.
Published: (2025)

Pseudo-label Refinement for Improving Self-Supervised Learning Systems
by: Zia-ur-Rehman, et al.
Published: (2024)

The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
by: Dumery, Corentin, et al.
Published: (2026)

Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
by: Chaudhry, Faiz Muhammad, et al.
Published: (2025)

Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density
by: Li, Shuangqi, et al.
Published: (2024)

Probabilistic Deep Discriminant Analysis for Wind Blade Segmentation
by: Pérez-Gonzalo, Raül, et al.
Published: (2026)

Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
by: Shao, Renrong, et al.
Published: (2025)

Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
by: Vashist, Chirag, et al.
Published: (2024)

Semi-Supervised Crowd Counting from Unlabeled Data
by: Duan, Haoran, et al.
Published: (2021)

Data-Driven Pseudo-spectral Full Waveform Inversion via Deep Neural Networks
by: Zerafa, Christopher, et al.
Published: (2025)

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
by: Mena, Francisco, et al.
Published: (2024)

Early Prediction of Type 2 Diabetes Using Multimodal data and Tabular Transformers
by: Khan, Sulaiman, et al.
Published: (2026)

Pseudo-Simulation for Autonomous Driving
by: Cao, Wei, et al.
Published: (2025)

HAGI++: Head-Assisted Gaze Imputation and Generation
by: Jiao, Chuhan, et al.
Published: (2025)

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
by: Sastry, Srikumar, et al.
Published: (2023)

Smooth Pseudo-Labeling
by: Karaliolios, Nikolaos, et al.
Published: (2024)

Improving Multimodal Large Language Models Using Continual Learning
by: Srivastava, Shikhar, et al.
Published: (2024)

Improving Quaternion Neural Networks with Quaternionic Activation Functions
by: Pöppelbaum, Johannes, et al.
Published: (2024)

Multimodal Deep Learning for Diabetic Foot Ulcer Staging Using Integrated RGB and Thermal Imaging
by: Mermer, Gulengul, et al.
Published: (2026)

Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion
by: Nair, Lakshmi
Published: (2024)

Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration
by: Jiang, Xun, et al.
Published: (2026)

Pseudo-Invertible Neural Networks
by: Ehrlich, Yamit, et al.
Published: (2026)

Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation
by: Duan, Lei, et al.
Published: (2024)

Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data
by: Xu, Zhengsen, et al.
Published: (2024)