Object Detection On Dsec
المقاييس
mAP
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | mAP |
|---|---|
| bi-directional-cross-modality-feature | 19.6 |
| rgb-event-fusion-for-moving-object-detection | 29.4 |
| mefnet-multi-scale-event-fusion-network-for | 30.0 |
| cbam-convolutional-block-attention-module | 26.1 |
| embracing-events-and-frames-with-hierarchical | 38.0 |
| fusing-event-based-and-rgb-camera-for-robust | 24.4 |
| calibrated-rgb-d-salient-object-detection | 25.7 |
| combining-events-and-frames-using-recurrent | 17.6 |
| squeeze-and-excitation-networks | 26.2 |
| cmx-cross-modal-fusion-for-rgb-x-semantic | 29.1 |
| specificity-preserving-rgb-d-saliency | 27.7 |
| eca-net-efficient-channel-attention-for-deep | 25.7 |