Hongjie Du, Hanqing Sun, Jiale Cao, Yanwei Pang. Matching Multi-Scale Features and Prediction Tasks for Real-Time Object Detection[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210014
- Laser & Optoelectronics Progress
- Vol. 58, Issue 12, 1210014 (2021)
Fig. 1. Existing object detection algorithms using convolution feature to complete prediction task. (a) CenterNet detection model; (b) detection model based on multi-scale feature for total task prediction; (c) proposed MFT detection model
Fig. 2. The proposed MFT network structure
Fig. 3. MSH module architecture
Fig. 4. MRFH module architecture
Fig. 5. Architectures of different feature fusion methods
Fig. 6. Visual effect comparison of CenterNet and MFT detector on COCO dataset
Fig. 7. Visual effect comparison of CenterNet and MFT detector on COCO dataset
|
Table 1. Comparison of different object detection algorithms on the COCO dataset
|
Table 2. Ablation results of different proposed modules on the PASCAL VOC dataset
|
Table 3. Reasonability of MSH module and MRFH module
|
Table 4. Complementary experiment of MRFH and MSH
|
Table 5. Ablation results of different scale features reused by MSH module
|
Table 6. Experiment of different feature fusion methods
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20