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Semantic Segmentation 벤치마크

Semantic Segmentation on Okutama Drone and Swiss Drone Dataset

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mIoU

37.81 44.83 51.84 58.86 65.88 2022-05 2026-09 DeepLabv3+‐ResNet‐101 — 65.88 (2022-05-31) DeepLabv3+‐Xception‐65 — 64.34 (2022-05-31) DeepLabv3+‐ResNet‐50 — 43.65 (2022-05-31) DeepLabv3+‐Xception‐71 — 37.81 (2022-05-31) DeepLabv3+‐ResNet‐101 — 65.88 (2022-05-31) DeepLabv3+‐Xception‐65 — 64.34 (2022-05-31) DeepLabv3+‐ResNet‐50 — 43.65 (2022-05-31) DeepLabv3+‐Xception‐71 — 37.81 (2022-05-31) DeepLabv3+‐ResNet‐101 — 65.88 (2022-05-31)
RankModel mIoUAcc PaperCodeYear
1 DeepLabv3+‐ResNet‐101 65.8890.78 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
2 DeepLabv3+‐Xception‐65 64.3490.72 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
3 DeepLabv3+‐ResNet‐50 43.6578.65 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
4 DeepLabv3+‐Xception‐71 37.8174.31 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
5 DeepLabv3+‐ResNet‐101 65.8890.78 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
6 DeepLabv3+‐Xception‐65 64.3490.72 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
7 DeepLabv3+‐ResNet‐50 43.6578.65 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
8 DeepLabv3+‐Xception‐71 37.8174.31 Deep learning with RGB and thermal images onboard a drone for monitoring operations 2022
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