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RepDarkNet: A Multi-Branched Detector for Small-Target Detection in Remote Sensing Images
2022
ISPRS International Journal of Geo-Information
Recent years have seen rapid progress in target-detection missions, whereas small targets, dense target distribution, and shadow occlusion continue to hinder progress in the detection of small targets, such as cars, in remote sensing images. To address this shortcoming, we propose herein a backbone feature-extraction network called "RepDarkNet" that adds several convolutional layers to CSPDarkNet53. RepDarkNet considerably improves the overall network accuracy with almost no increase in
doi:10.3390/ijgi11030158
fatcat:xsv7fqkiofesdczxaqxfmdwq44