DART: An automated end-to-end object detection pipeline with data Diversification, open-vocabulary bounding box Annotation, pseudo-label Review, and model Training-Reference-Cited by-同舟云学术

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DART: An automated end-to-end object detection pipeline with data Diversification, open-vocabulary bounding box Annotation, pseudo-label Review, and model Training

Published:2024-12 Issue: Volume:258 Page:125124
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Xin Chen^ORCID,Hartel Andreas,Kasneci Enkelejda^ORCID

Publisher

Elsevier BV

Reference71 articles.

1. Flamingo: A visual language model for few-shot learning;Alayrac,2022

2. YOLOv5 by ultralytics;Anon,2020

3. Claude 3 family;Anthropic,2024

4. YOLOv4: Optimal speed and accuracy of object detection;Bochkovskiy,2020

5. How far are we to GPT-4V? closing the gap to commercial multimodal models with open-source suites;Chen,2024

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