Object detection with noisy annotations in high-resolution remote sensing images using robust EfficientDet

Siqi Wei; Zhe Chen; Junke Wang; Xuedong Zheng; Daxiang Xiang; Zemin Dong

doi:10.1117/12.2598138

12 September 2021 Object detection with noisy annotations in high-resolution remote sensing images using robust EfficientDet

Siqi Wei, Zhe Chen, Junke Wang, Xuedong Zheng, Daxiang Xiang, Zemin Dong

Author Affiliations +

Proceedings Volume 11862, Image and Signal Processing for Remote Sensing XXVII; 118620B (2021) https://doi.org/10.1117/12.2598138
Event: SPIE Remote Sensing, 2021, Online Only

Abstract

A large number of accurate annotations of targets is a prerequisite for efficient and accurate object detection. However, to obtain such annotated samples for completing detection model training is time-consuming, laborious, and difficult to achieve. Usually, the training samples often contain noisy annotation, including mislabeled class and inaccurate bounding box. These noisy annotations reduce the classification and detection performance. In order to solve this problem and efficiently and accurately detect interested targets from remote sensing images, we propose a robust object detection method, called robustEfficientDet. In this method, firstly, with the help of EfficientDet's powerful ability of deep feature fusion, the feature representation with higher classification performance is extracted from the image. Secondly, the “Active passive losses (APL)” function is introduced into the calculation process of the classification loss to deal with the noisy annotations. In addition, in the bounding box regression, a new Focal- EIOU (short for effective Efficient Intersection over Union) loss function is introduced to reduce the positioning loss caused by inaccurate bounding box. Finally, the robustEfficientDet is constructed to improve the performance of object detection in remote sensing images. The results of several experiments show that the proposed method can achieve better detection results with noisy annotations.

Conference Presentation

Citation Download Citation

Siqi Wei, Zhe Chen, Junke Wang, Xuedong Zheng, Daxiang Xiang, and Zemin Dong "Object detection with noisy annotations in high-resolution remote sensing images using robust EfficientDet", Proc. SPIE 11862, Image and Signal Processing for Remote Sensing XXVII, 118620B (12 September 2021); https://doi.org/10.1117/12.2598138

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