Method Detail: 123xjl-ResUNetPlus

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Benchmark: UAV-Crack
Short name: 123xjl-ResUNetPlus
Long name: ResNet34 U-Net Multi-model Ensemble
Description: Latest submission averages 4 ResNet34 U-Nets: seeds42/43 trained on 974 images (photo-group validation checkpoints) and seeds42/43 trained on all1200 for42 epochs. Four-flip TTA; frozen threshold0.40. First submission averaged only grouped models. AI-assisted implementation.
Reference: N/A
Last submitted: September 16, 2026
Published: September 16, 2026 at 17:50:17
Submissions: 2
Project page / code: N/A
Open source: No

Benchmark performance

Submission Date mIoU (↑) Crack F1 (↑) Crack IoU (↑) Crack Precision (↑) Crack Recall (↑) aAcc (↑)
2026-09-16 17:59 82.0500 79.9400 66.5900 79.5100 80.3900 97.6300
2026-09-16 17:50 81.8500 79.6700 66.2100 79.3200 80.0200 97.6000