Name
Title | ||
|---|---|---|
Af-Ems Detector: Improve The Multi-Scale Detection Performance Of The Anchor-Free Detector |
Abstract | ||
|---|---|---|
As a precursor step for computer vision algorithms, object detection plays an important role in various practical application scenarios. With the objects to be detected becoming more complex, the problem of multi-scale object detection has attracted more and more attention, especially in the field of remote sensing detection. Early convolutional neural network detection algorithms are mostly based on artificially preset anchor-boxes to divide different regions in the image, and then obtain the prior position of the target. However, the anchor box is difficult to set reasonably and will cause a large amount of computational redundancy, which affects the generality of the detection model obtained under fixed parameters. In the past two years, anchor-free detection algorithm has achieved remarkable development in the field of detection on natural image. However, there is no sufficient research on how to deal with multi-scale detection more effectively in anchor-free framework and use these detectors on remote sensing images. In this paper, we propose a specific-attention Feature Pyramid Network (FPN) module, which is able to generate a feature pyramid, basing on the characteristics of objects with various sizes. In addition, this pyramid suits multi-scale object detection better. Besides, a scale-aware detection head is proposed which contains a multi-receptive feature fusion module and a size-based feature compensation module. The new anchor-free detector can obtain a more effective multi-scale feature expression. Experiments on challenging datasets show that our approach performs favorably against other methods in terms of the multi-scale object detection performance. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/rs13020160 | REMOTE SENSING |
Keywords | DocType | Volume |
remote sensing imagery, anchor free, multi-scale detection, scale-aware feature | Journal | 13 |
Issue | Citations | PageRank |
2 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiangqiao Yan | 1 | 0 | 0.34 |
| Liangjin Zhao | 2 | 1 | 2.04 |
| Wenhui Diao | 3 | 43 | 12.16 |
| Hongqi Wang | 4 | 304 | 25.05 |
| Xian Sun | 5 | 325 | 40.42 |