:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Prasad, Suraj, Mahapatra, Pinak
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	https://arxiv.org/abs/2604.16513
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Speech-Synchronized Whiteboard Generation via VLM-Driven Structured Drawing Representations
par: Prasad, Suraj, et autres
Publié: (2026)

Replication Study: Federated Text-Driven Prompt Generation for Vision-Language Models
par: Prasad, Suraj, et autres
Publié: (2025)

MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation
par: Kang, YoonJe, et autres
Publié: (2025)

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
par: Hammoud, Hasan Abed Al Kader, et autres
Publié: (2024)

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis
par: Wu, Zijian, et autres
Publié: (2025)

Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
par: Tai, Chi-en Amy, et autres
Publié: (2024)

Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
par: Hu, Xiaoling, et autres
Publié: (2024)

Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
par: Lomurno, Eugenio, et autres
Publié: (2024)

SynthVision -- Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data
par: Kularathne, Yudara, et autres
Publié: (2024)

Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data
par: Osuala, Richard, et autres
Publié: (2024)

Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
par: Vusirikala, Srivishnu, et autres
Publié: (2024)

FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization
par: Jiang, Zhanhong, et autres
Publié: (2025)

Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation
par: Basterrech, Sebastian
Publié: (2024)

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
par: Khosravi, Bardia, et autres
Publié: (2023)

Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
par: Lux, Laurin, et autres
Publié: (2024)

Exploring the Potential of Synthetic Data to Replace Real Data
par: Lee, Hyungtae, et autres
Publié: (2024)

On the Equivalency, Substitutability, and Flexibility of Synthetic Data
par: Chang, Che-Jui, et autres
Publié: (2024)

Synthetic Data for Robust Runway Detection
par: Chigot, Estelle, et autres
Publié: (2025)

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
par: Otake, Hina, et autres
Publié: (2024)

Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
par: Srinivas, Suraj, et autres
Publié: (2023)

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
par: Bhalla, Usha, et autres
Publié: (2023)

SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
par: Ye-Bin, Moon, et autres
Publié: (2023)

T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
par: Imam, Raza, et autres
Publié: (2025)

Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation
par: Liu, Bochao, et autres
Publié: (2026)

Learning from Synthetic Data for Visual Grounding
par: He, Ruozhen, et autres
Publié: (2024)

Dealing with Synthetic Data Contamination in Online Continual Learning
par: Wang, Maorong, et autres
Publié: (2024)

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
par: Chopra, Shivang, et autres
Publié: (2024)

Explainable YOLO-Based Dyslexia Detection in Synthetic Handwriting Data
par: Fink, Nora
Publié: (2025)

HandCraft: Dynamic Sign Generation for Synthetic Data Augmentation
par: Rios, Gaston Gustavo, et autres
Publié: (2025)

Position Paper: Building Trust in Synthetic Data for Clinical AI
par: Babu, Krishan Agyakari Raja, et autres
Publié: (2025)

Provably Improving Generalization of Few-Shot Models with Synthetic Data
par: Nguyen, Lan-Cuong, et autres
Publié: (2025)

Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
par: Wu, Bin, et autres
Publié: (2025)

Reliability in Semantic Segmentation: Can We Use Synthetic Data?
par: Loiseau, Thibaut, et autres
Publié: (2023)

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data
par: Kerim, Abdulrahman, et autres
Publié: (2024)

Predicting Lung Disease Severity via Image-Based AQI Analysis using Deep Learning Techniques
par: Mahajan, Anvita, et autres
Publié: (2024)

SCoRe: Submodular Combinatorial Representation Learning
par: Majee, Anay, et autres
Publié: (2023)

Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
par: Harrison, Josie, et autres
Publié: (2024)

Topology-Preserving Polygon Augmentation for Segmentation in Structured Visual Domains
par: Laudari, Sudip, et autres
Publié: (2026)

Training-Free Synthetic Data Generation with Dual IP-Adapter Guidance
par: Boudier, Luc, et autres
Publié: (2025)

Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data
par: Voronin, Sergei, et autres
Publié: (2024)