Pixel-wise annotated and high-quality synthesized image datasets for semi-supervised truck segmentation with limited raw images-Reference-Cited by-同舟云学术

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Pixel-wise annotated and high-quality synthesized image datasets for semi-supervised truck segmentation with limited raw images

Published:2024-02 Issue: Volume:158 Page:105197
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Song Benyang,Wang Jiajun,Wang Xiaoling,Zeng Tuocheng,Li Dongze

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference56 articles.

1. Domain generalization: a survey;Zhou;IEEE Trans. Pattern Anal. Mach. Intell.,2022

2. Masked autoencoders are scalable vision learners;He,2022

3. A survey on deep semi-supervised learning;Yang;IEEE Trans. Knowl. Data Eng.,2022

4. Scaled-yolov4: scaling cross stage partial network;Wang,2021

5. Weakly supervised vehicle detection in satellite images via multi-instance discriminative learning;Cao;Pattern Recogn.,2017

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1. Potential of synthetic images in landslide segmentation in data-poor scenario: a framework combining GAN and transformer models;Landslides;2024-05-28

2. Synthesizing High-Quality Construction Segmentation Datasets Through Pre-trained Diffusion Model;Lecture Notes in Computer Science;2024

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