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Models/TarDAL

TarDAL

Reported on 7 benchmarks across 5 tasks · 1 paper · 7 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology6 results

3DonMultispectral Dataset
mAP@0.5· 2022-03-30
78
SOTA
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection arXiv:2203.16220
2D ClassificationonMultispectral Dataset
mAP@0.5· 2022-03-30
78
SOTA
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection arXiv:2203.16220
2D Object DetectiononDroneVehicle
test/mAP· 2022-03-30
43.3
SOTA
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection arXiv:2203.16220
2D Object DetectiononDroneVehicle
test/mAP50· 2022-03-30
72.6
best: 79.4 (OAFA)
SOTA
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection arXiv:2203.16220
2D Object DetectiononMultispectral Dataset
mAP@0.5· 2022-03-30
78
SOTA
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection arXiv:2203.16220
16konMultispectral Dataset
mAP@0.5· 2022-03-30
78
SOTA
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection arXiv:2203.16220

Computer Vision1 result

Object DetectiononMultispectral Dataset
mAP@0.5· 2022-03-30
78
SOTA
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection arXiv:2203.16220