An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

22 Apr 2019Youngwan LeeJoong-won HwangSangrok LeeYuseok BaeJongyoul Park

As DenseNet conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the object detection task. Although feature reuse enables DenseNet to produce strong features with a small number of model parameters and FLOPs, the detector with DenseNet backbone shows rather slow speed and low energy efficiency... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Real-Time Object Detection COCO RefineDet320 + VoVNet-57 MAP 33.9 # 5
Real-Time Object Detection COCO RefineDet320 + VoVNet-57 FPS 21.2 # 7
Object Detection COCO minival Mask R-CNN (VoVNet-39-GN) box AP 41.7 # 23
Object Detection COCO minival Mask R-CNN (VoVNet-39-GN) AP50 62.2 # 10
Object Detection COCO minival Mask R-CNN (VoVNet-57-GN) box AP 41.9 # 21
Object Detection COCO minival Mask R-CNN (VoVNet-57-GN) AP50 62.1 # 11
Object Detection COCO test-dev RefineDet512 (VoVNet-57, single-scale) box AP 39.2 # 40
Object Detection COCO test-dev RefineDet512 (VoVNet-57, single-scale) AP50 60.7 # 33
Object Detection COCO test-dev RefineDet512 (VoVNet-57, single-scale) AP75 42.6 # 39
Object Detection COCO test-dev RefineDet512 (VoVNet-57, single-scale) APS 20.2 # 47
Object Detection COCO test-dev RefineDet512 (VoVNet-57, single-scale) APM 42.4 # 34
Object Detection COCO test-dev RefineDet512 (VoVNet-57, single-scale) APL 52.8 # 31
Object Detection COCO test-dev RefineDet512 + VoVNet-57 (sinlge-scale) box AP 39.2 # 40
Object Detection COCO test-dev RefineDet512 (VoVNet-57, multi-scale) box AP 43.6 # 17
Object Detection COCO test-dev RefineDet512 (VoVNet-57, multi-scale) AP50 64.9 # 13
Object Detection COCO test-dev RefineDet512 (VoVNet-57, multi-scale) AP75 47.7 # 16
Object Detection COCO test-dev RefineDet512 (VoVNet-57, multi-scale) APS 27.2 # 13
Object Detection COCO test-dev RefineDet512 (VoVNet-57, multi-scale) APM 46.9 # 15
Object Detection COCO test-dev RefineDet512 (VoVNet-57, multi-scale) APL 55.6 # 17
Object Detection COCO test-dev RefineDet512 (VoVNet-39, single-scale) box AP 38.5 # 43
Object Detection COCO test-dev RefineDet512 (VoVNet-39, single-scale) AP50 60.4 # 35
Object Detection COCO test-dev RefineDet512 (VoVNet-39, single-scale) AP75 42 # 41
Object Detection COCO test-dev RefineDet512 (VoVNet-39, single-scale) APS 20 # 49
Object Detection COCO test-dev RefineDet512 (VoVNet-39, single-scale) APM 41.4 # 37
Object Detection COCO test-dev RefineDet512 (VoVNet-39, single-scale) APL 51.7 # 34
Object Detection PASCAL VOC 2007 DSOD300 + VoVNet-27-slim MAP 74.8% # 13
Real-Time Object Detection PASCAL VOC 2007 DSOD300 + VoVNet-27-slim MAP 74.8% # 4
Real-Time Object Detection PASCAL VOC 2007 DSOD300 + VoVNet-27-slim FPS 71 # 1