Weakly Supervised Fire and Smoke Segmentation in Forest Images with CAM and CRF-Reference-Cited by-同舟云学术

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Weakly Supervised Fire and Smoke Segmentation in Forest Images with CAM and CRF

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
language:
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Author:

Amaral Bernardo¹,Niknejad Milad¹,Barata Catarina¹,Bernardino Alexandre¹

Affiliation:

1. Institute for Systems and Robotics (ISR),Instituto Superior Técnico,Lisbon,Portugal,1049-001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956288.pdf?arnumber=9956288

Reference32 articles.

1. Encoder-decoder with atrous separable convolution for semantic image segmentation;chen;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2018

2. INet: Convolutional Networks for Biomedical Image Segmentation

3. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size;iandola;International Conference on Learning Representations (ICLR),2017

4. Computer vision based method for real-time fire and flame detection

5. Fast and Efficient Method for Fire Detection Using Image Processing

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss;Remote Sensing;2023-07-19

2. Semi-supervised Classification and Segmentation of Forest Fire Using Autoencoders;Advanced Concepts for Intelligent Vision Systems;2023

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