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Published at December 9Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
cs.CV
cs.NE
Released Date: December 9, 2024
Authors: Xiao Wang1, Yu Jin1, Wentao Wu2, Wei Zhang3, Lin Zhu3, Bo Jiang1, Yonghong Tian3
Aff.: 1Anhui University; 2Peng Cheng Laboratory; 3Peking University

| Index | Algorithm | Publish | Backbone | mAP@50:95 | mAP@50 | mAP@75 | P | R | Params | FLOPs | FPS | Code |
| 01 | Faster R-CNN [34] | TPAMI 2016 | ResNet50 | 46.0 | 73.3 | 48.6 | 76.3 | 88.3 | 40.9M | 71.2G | 23 | URL |
| 02 | S5-ViT [56] | CVPR 2024 | Former+SSM | 42.9 | 76.3 | 44.1 | 69.7 | 66.9 | 18.2M | 5.6G | 84 | URL |
| 03 | SAST [31] | CVPR 2024 | Transformer | 27.4 | 53.6 | 25.3 | 30.1 | 29.6 | 18.5M | 15.9G | 51 | URL |
| 04 | SpikeYOLO [27] | ECCV 2024 | SNN | 41.2 | 74.8 | 39.8 | 81.6 | 68.5 | 68.8M | 78.1G | 77 | URL |
| 05 | YOLOv10-N [39] | arXiv 2024 | CNN | 42.7 | 75.1 | 42.1 | 75.3 | 68.9 | 2.3M | 8.2G | 116 | URL |
| YOLOv10-S [39] | 43.5 | 76.2 | 43.0 | 75.4 | 71.2 | 7.3M | 21.6G | 83 | ||||
| YOLOv10-M [39] | 44.0 | 77.5 | 42.8 | 76.6 | 71.7 | 15.4M | 59.1G | 32 | ||||
| YOLOv10-B [39] | 44.1 | 77.9 | 43.1 | 76.0 | 73.2 | 19.1M | 92.0G | 30 | ||||
| 06 | RVT [12] | CVPR 2023 | Transformer | 40.7 | 73.1 | 42.3 | 70.3 | 65.9 | 9.9M | 8.4G | 88 | URL |
| 07 | EMS-YOLO [36] | ICCV 2023 | SNN | 32.1 | 66.6 | 27.4 | 77.5 | 62.5 | 14.40M | 3.3M | 119 | URL |
| 08 | YOLOv6 [20] | arXiv 2022 | RepVGG | 41.3 | 75.7 | 38.9 | 50.4 | 53.8 | 17.2M | 44.2M | 70 | URL |
| 09 | Swin-T [25] | ICCV 2021 | Transformer | 49.0 | 78.4 | 52.7 | 79.4 | 88.8 | 160M | 1043G | 26 | URL |
| 10 | DetectoRS [33] | CVPR 2021 | ResNet50 | 49.1 | 78.8 | 53.5 | 78.8 | 85.8 | 123.2M | 117.2G | 32 | URL |
| 11 | RED [32] | NeurIPS 2020 | ResNet50 | 35.4 | 68.3 | 35.2 | 69.0 | 66.1 | 24.1M | 46.3G | 34 | URL |
| 12 | DETR [5] | ECCV 2020 | Transformer | 40.9 | 74.5 | 39.5 | 74.5 | 90.9 | 41M | 86G | 29 | URL |
| 13 | Mask R-CNN [15] | ICCV 2017 | ResNet50 | 48.8 | 77.6 | 52.0 | 77.8 | 87.1 | 43.8M | 142.7G | 28 | URL |
| 14 | RetinaNet [22] | ICCV 2017 | ResNet50 | 48.6 | 77.0 | 50.8 | 77.8 | 93.7 | 36.2M | 81.4G | 76 | URL |
| 15 | vHeat† [46] | arXiv 2024 | vHeat | 50.3 | 72.2 | 54.2 | 56.9 | 69.4 | 56.3M | 74.5G | 50 | URL |
| 16 | Ours | - | MvHeat | 52.9 | 80.4 | 55.9 | 58.9 | 70.0 | 47.5M | 56.4G | 58 | - |