Copertina

The effects of using created synthetic images in computer vision training

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Smutny, John W.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dirty and Clean-Label attack detection using GAN discriminators
di: Smutny, John W.
Pubblicazione: (2025)

Features extraction for image identification using computer vision
di: Niyonkuru, Venant, et al.
Pubblicazione: (2025)

Ultra-low-light computer vision using trained photon correlations
di: Sohoni, Mandar M., et al.
Pubblicazione: (2026)

Low performing pixel correction in computed tomography with unrolled network and synthetic data training
di: Yang, Hongxu, et al.
Pubblicazione: (2026)

A survey of synthetic data augmentation methods in computer vision
di: Mumuni, Alhassan, et al.
Pubblicazione: (2024)

Precise localization of corneal reflections in eye images using deep learning trained on synthetic data
di: Byrne, Sean Anthony, et al.
Pubblicazione: (2023)

Site-specific weed management in corn using UAS imagery analysis and computer vision techniques
di: Sapkota, Ranjan, et al.
Pubblicazione: (2022)

For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives
di: Morra, Lia, et al.
Pubblicazione: (2024)

Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
di: Pucci, Rita, et al.
Pubblicazione: (2024)

Task Alignment: A simple and effective proxy for model merging in computer vision
di: de Jorge, Pau, et al.
Pubblicazione: (2026)

A computer vision-based model for occupancy detection using low-resolution thermal images
di: Cui, Xue, et al.
Pubblicazione: (2025)

Automated high-frequency quantification of fish communities and biomass using computer vision
di: Ishikawa, Kota, et al.
Pubblicazione: (2026)

Universal computational thermal imaging overcoming the ghosting effect
di: Xu, Hongyi, et al.
Pubblicazione: (2026)

Quantifying the uncertainty of model-based synthetic image quality metrics
di: Bench, Ciaran, et al.
Pubblicazione: (2025)

Evaluation of image simulation open source solutions for simulation of synthetic images in lunar environment
di: Singla, Jai G, et al.
Pubblicazione: (2026)

The possibility of making \$138,000 from shredded banknote pieces using computer vision
di: Kong, Chung To
Pubblicazione: (2023)

TGGLinesPlus: A robust topological graph-guided computer vision algorithm for line detection from images
di: Yang, Liping, et al.
Pubblicazione: (2024)

VR-based generation of photorealistic synthetic data for training hand-object tracking models
di: Zhang, Chengyan, et al.
Pubblicazione: (2024)

When are radiology reports useful for training medical image classifiers?
di: Bergström, Herman, et al.
Pubblicazione: (2025)

A survey of datasets for computer vision in agriculture
di: Heider, Nico, et al.
Pubblicazione: (2025)

Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals
di: Diez-Pastor, Jose Francisco, et al.
Pubblicazione: (2025)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
di: Gonzalez-Perez, Ruben, et al.
Pubblicazione: (2024)

Hebrew letters Detection and Cuneiform tablets Classification by using the yolov8 computer vision model
di: Saeed, Elaf A., et al.
Pubblicazione: (2024)

Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision
di: Hou, Kuinan, et al.
Pubblicazione: (2024)

Are foundation models for computer vision good conformal predictors?
di: Fillioux, Leo, et al.
Pubblicazione: (2024)

Computer vision training dataset generation for robotic environments using Gaussian splatting
di: Niżeniec, Patryk, et al.
Pubblicazione: (2025)

Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network
di: da Silva, Guilherme Santos, et al.
Pubblicazione: (2026)

Enhancing seeding efficiency using a computer vision system to monitor furrow quality in real-time
di: Rai, Sidharth, et al.
Pubblicazione: (2025)

Understanding and evaluating computer vision models through the lens of counterfactuals
di: Shukla, Pushkar
Pubblicazione: (2025)

Training deep learning based dynamic MR image reconstruction using synthetic fractals
di: Raman, Anirudh, et al.
Pubblicazione: (2026)

Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models
di: Yang, Yifan, et al.
Pubblicazione: (2025)

Intelligent bear deterrence system based on computer vision: Reducing human-bear conflicts in remote areas
di: Chen, Pengyu, et al.
Pubblicazione: (2025)

One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
di: Pöllabauer, Thomas, et al.
Pubblicazione: (2024)

Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT
di: Sengupta, Saurav, et al.
Pubblicazione: (2023)

CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets
di: Islam, Mominul, et al.
Pubblicazione: (2023)

Semantic and structural image segmentation for prosthetic vision
di: Sanchez-Garcia, Melani, et al.
Pubblicazione: (2018)

SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images
di: Dhakara, Pushpendra, et al.
Pubblicazione: (2025)

Track Anything Annotate: Video annotation and dataset generation of computer vision models
di: Ivanov, Nikita, et al.
Pubblicazione: (2025)

What could go wrong? Discovering and describing failure modes in computer vision
di: Csurka, Gabriela, et al.
Pubblicazione: (2024)

End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence
di: Ciezobka, Wojciech, et al.
Pubblicazione: (2024)