Saved in:
| Main Authors: | Raj, Kislay, Kumar, Teerath, Mileo, Alessandra, Bendechache, Malika |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.10544 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation
by: Kumar, Teerath, et al.
Published: (2024)
by: Kumar, Teerath, et al.
Published: (2024)
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach
by: Kumar, Teerath, et al.
Published: (2024)
by: Kumar, Teerath, et al.
Published: (2024)
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity
by: Kumar, Teerath, et al.
Published: (2024)
by: Kumar, Teerath, et al.
Published: (2024)
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
by: Zubair, Muhammad, et al.
Published: (2025)
by: Zubair, Muhammad, et al.
Published: (2025)
A Systematic Review of Available Datasets in Additive Manufacturing
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
by: Maksudov, Bulat, et al.
Published: (2025)
by: Maksudov, Bulat, et al.
Published: (2025)
ABRA: Agent Benchmark for Radiology Applications
by: Maksudov, Bulat, et al.
Published: (2026)
by: Maksudov, Bulat, et al.
Published: (2026)
Metadata augmented deep neural networks for wild animal classification
by: Tøn, Aslak, et al.
Published: (2024)
by: Tøn, Aslak, et al.
Published: (2024)
Meme Similarity and Emotion Detection using Multimodal Analysis
by: Konyspay, Aidos, et al.
Published: (2025)
by: Konyspay, Aidos, et al.
Published: (2025)
Diabetic retinopathy image classification method based on GreenBen data augmentation
by: Liu, Yutong, et al.
Published: (2024)
by: Liu, Yutong, et al.
Published: (2024)
Robust Vehicle Localization and Tracking in Rain using Street Maps
by: Tan, Yu Xiang, et al.
Published: (2024)
by: Tan, Yu Xiang, et al.
Published: (2024)
Enhancing Knee Osteoarthritis severity level classification using diffusion augmented images
by: Chowdary, Paleti Nikhil, et al.
Published: (2023)
by: Chowdary, Paleti Nikhil, et al.
Published: (2023)
On the power of data augmentation for head pose estimation
by: Welter, Michael
Published: (2024)
by: Welter, Michael
Published: (2024)
Hyperspectral data augmentation with transformer-based diffusion models
by: Ferrari, Mattia, et al.
Published: (2025)
by: Ferrari, Mattia, et al.
Published: (2025)
TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models
by: Rakib, Mazharul Islam, et al.
Published: (2025)
by: Rakib, Mazharul Islam, et al.
Published: (2025)
A data-centric approach to class-specific bias in image data augmentation
by: Angelakis, Athanasios, et al.
Published: (2024)
by: Angelakis, Athanasios, et al.
Published: (2024)
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
by: Dorneles, Lucas M., et al.
Published: (2025)
by: Dorneles, Lucas M., et al.
Published: (2025)
Handling imbalance and few-sample size in ML based Onion disease classification
by: Pal, Abhijeet Manoj, et al.
Published: (2025)
by: Pal, Abhijeet Manoj, et al.
Published: (2025)
Dynamic Group Detection using VLM-augmented Temporal Groupness Graph
by: Yokoyama, Kaname, et al.
Published: (2025)
by: Yokoyama, Kaname, et al.
Published: (2025)
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging
by: Sherkatghanad, Zeinab, et al.
Published: (2024)
by: Sherkatghanad, Zeinab, et al.
Published: (2024)
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
by: Huang, Xiu-Feng, et al.
Published: (2024)
by: Huang, Xiu-Feng, et al.
Published: (2024)
Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
by: Zeinaty, Christophe EL, et al.
Published: (2025)
by: Zeinaty, Christophe EL, et al.
Published: (2025)
Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5
by: Soltanikazemi, Elham, et al.
Published: (2023)
by: Soltanikazemi, Elham, et al.
Published: (2023)
Synthetic data augmentation for robotic mobility aids to support blind and low vision people
by: Hwang, Hochul, et al.
Published: (2024)
by: Hwang, Hochul, et al.
Published: (2024)
Image compositing is all you need for data augmentation
by: Shermaine, Ang Jia Ning, et al.
Published: (2025)
by: Shermaine, Ang Jia Ning, et al.
Published: (2025)
Nucleus subtype classification using inter-modality learning
by: Remedios, Lucas W., et al.
Published: (2024)
by: Remedios, Lucas W., et al.
Published: (2024)
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
by: Kim, Hyungmin, et al.
Published: (2024)
by: Kim, Hyungmin, et al.
Published: (2024)
2023 Low-Power Computer Vision Challenge (LPCVC) Summary
by: Chen, Leo, et al.
Published: (2024)
by: Chen, Leo, et al.
Published: (2024)
IEEE BigData 2023 Keystroke Verification Challenge (KVC)
by: Stragapede, Giuseppe, et al.
Published: (2024)
by: Stragapede, Giuseppe, et al.
Published: (2024)
Exploring OCR-augmented Generation for Bilingual VQA
by: Lee, JoonHo, et al.
Published: (2025)
by: Lee, JoonHo, et al.
Published: (2025)
Generative data augmentation for biliary tract detection on intraoperative images
by: Iacono, Cristina, et al.
Published: (2025)
by: Iacono, Cristina, et al.
Published: (2025)
Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images (Preprint)
by: Sikder, Niloy, et al.
Published: (2024)
by: Sikder, Niloy, et al.
Published: (2024)
A Critical Study towards the Detection of Parkinsons Disease using ML Technologies
by: Chetia, Vivek, et al.
Published: (2025)
by: Chetia, Vivek, et al.
Published: (2025)
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images
by: Singh, Aakash, et al.
Published: (2024)
by: Singh, Aakash, et al.
Published: (2024)
NormalView: sensor-agnostic tree species classification from backpack and aerial lidar data using geometric projections
by: Korkeala, Juho, et al.
Published: (2025)
by: Korkeala, Juho, et al.
Published: (2025)
Probabilistic road classification in historical maps using synthetic data and deep learning
by: Mühlematter, Dominik J., et al.
Published: (2024)
by: Mühlematter, Dominik J., et al.
Published: (2024)
Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge
by: Lee, Chia-Yen, et al.
Published: (2022)
by: Lee, Chia-Yen, et al.
Published: (2022)
SoccerNet 2023 Challenges Results
by: Cioppa, Anthony, et al.
Published: (2023)
by: Cioppa, Anthony, et al.
Published: (2023)
OxEnsemble: Fair Ensembles for Low-Data Classification
by: Rystrøm, Jonathan, et al.
Published: (2025)
by: Rystrøm, Jonathan, et al.
Published: (2025)
The object detection model uses combined extraction with KNN and RF classification
by: Kurniati, Florentina Tatrin, et al.
Published: (2024)
by: Kurniati, Florentina Tatrin, et al.
Published: (2024)
Similar Items
-
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation
by: Kumar, Teerath, et al.
Published: (2024) -
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach
by: Kumar, Teerath, et al.
Published: (2024) -
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity
by: Kumar, Teerath, et al.
Published: (2024) -
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
by: Zubair, Muhammad, et al.
Published: (2025) -
A Systematic Review of Available Datasets in Additive Manufacturing
by: Liu, Xiao, et al.
Published: (2024)