… of each MVMNet module; (3) … via ablation experiments on MVMNet; (4) compare MVMNet
to other methods and demonstrate that MVMNet outperforms other methods in forest fire smoke …

… fast and accurate forest fire smoke detection system that can detect low concentration and
small size smoke… Fast forest fire smoke detection using MVMNet[J]. Knowledge-Based Systems…

… The development of deep learning has brought a fast and accurate method for providing …
a method for forest fire smoke detection adapted to a long-range overhead UAV perspective. …

… [21] used Faster-RCNN for forest fire and smoke detection, using two synthetic … [34] proposed
an MVMNet network, which combined with the YOLOv5 algorithm can perform multi-angle …

… Early fire detection can also help decision-makers plan … This research looks at fire/smoke
detection from images using AI-… fast R-CNN smoke detection showed an increased detection …

… for early fire detection as smoke spreads faster than a flame … accuracy of early forest fire
smoke detection in various weather … We proposed forest fire smoke detection using UAV images …

… presented MVMNet, a deep learning-based smoke detection algorithm uses multioriented …
ability of framework in smoke detection on accurate, 0.9456 F1 score, and fast, 7.65ms latency…

… limited in detecting small smoke and smoke with smoke-like … forest fire smoke detection that
is suitable for UAVs. Firstly, a … it faster, our dataset consists mainly of forest fire smoke images …

… From the test results, in the forest fire smoke detection task, MVMNet performs best among
the CNN series models, with mAP of 71.22 %, mAP50 of 79.11 %, mAP75 of 75.51 %, and AR …

… introduced a flame detection model using a color anchor strategy with Faster R-CNN. This
… developed a lightweight forest fire detection model using YOLOX and a defogging algorithm…