most citedYOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation

1 citations · 1 across the 1 of their papers we have counts for

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cs.CV2025★ 1 cited

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation

Weichao Pan, Bohan Xu, Xu Wang +4

Fire detection in dynamic environments faces continuous challenges, including the interference of illumination changes, many false detections or missed detections, and it is diffic…