Adaptive dynamic networks for object detection in aerial images

Author:

Wu Zhenyu,Yan HaibinORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. PulseNetOne: fast unsupervised pruning of convolutional neural networks for remote sensing;Browne;Remote Sens.,2020

2. Cascade R-CNN: delving into high quality object detection;Cai,2018

3. Dynamic region-aware convolution;Chen,2021

4. Learning rotation-invariant and fisher discriminative convolutional neural networks for object detection;Cheng;TIP,2018

5. L. Cheng, X. Liu, L. Li, L. Jiao, X. Tang, Deep adaptive proposal network for object detection in optical remote sensing images, arXiv preprint arXiv:1807.07327 (2018b).

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