[1] L LIU, W OUYANG, X G WANG et al. Deep learning for generic object detection: a survey. International Journal of Computer Vision, 128, 261-318.(2020).

[2] Changhong FU, Kunhui CHEN, Kunhan LU et al. Aviation fastener rotation detection for intelligent optical perception with edge computing. Journal of Applied Optics, 43, 472-480(2022).

[3] J DING, N XUE, Y LONG et al. Learning RoI transformer for oriented object detection in aerial images, 2849-2858(2019).

[4] W QIAN, X YANG, S L PENG et al. Learning modulated loss for rotated object detection, 2458-2466(2021).

[5] J Q MA, W Y SHAO, H YE et al. Arbitrary-oriented scene text detection via rotation proposals. IEEE Transactions on Multimedia, 20, 3111-3122.(2018).

[6] X X XIE, G CHENG, J B WANG et al. Oriented r-cnn for object detection, 3520-3529(2021).

[7] J M HAN, J DING, N XUE et al. Redet: a rotation-equivariant detector for aerial object detection, 2786-2795(2021).

[8] K M HE, X Y ZHANG, S Q REN et al. Deep residual learning for image recognition, 770-778(2016).

[9] X YANG, J C YAN, Q MING et al. Rethinking rotated object detection with Gaussian Wasserstein distance loss, 11830-11841(2021).

[10] Y YU, F P DA. Phase-shifting coder: predicting accurate orientation in oriented object detection. https://doi.org/10.48550/arXiv.2211.06368

[11] X YANG, J C YAN, Z M FENG et al. R3det: refined single-stage detector with feature refinement for rotating object, 3163-3171(2021).

[12] L HOU, K LU, J XUE et al. Shape-adaptive selection and measurement for oriented object detection, 923-932(2022).

[13] W LI, Y CHEN, K HU et al. Oriented reppoints for aerial object detection, 1829-1838(2022).

[14] Liequan WU, Zhifeng ZHOU, Zhiling ZHU et al. Surface defect detection of patch diode based on improved YOLO-V4. Journal of Applied Optics, 44, 621-627(2023).

[15] X YANG, X J YANG, J R YANG et al. Learning high-precision bounding box for rotated object detection via kullback leibler divergence, 18381-18394(2021).

[16] X YANG, Y ZHOU, G F ZHANG et al. The kfiou loss for rotated object detection. https://doi.org/10.48550/arXiv.2201.12558

[17] K WANG, Z LI, A SU et al. Oriented object detection in optical remote sensing images: a survey. https://doi.org/10.48550/arXiv.2302.10473

[18] J D WANG, K SUN, T S CHENG et al. Deep high-resolution representation learning for visual recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3349-3364.(2021).

[19] Jiale CAO, Yali LI, Hanqing SUN et al. A survey on deep learning based visual object detection. Journal of Image and Graphics, 27, 1697-1722(2022).

[20] X YANG, J C YAN, W L LIAO et al. SCRDet++: detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 2384-2399.(2023).

[21] J HAN, J DING, J LI et al. Align deep features for oriented object detection. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11(2022).

[22] G S XIA, X BAI, J DING et al. Dota: a large-scale dataset for object detection in aerial images, 3974-3983(2018).

[23] G CHENG, J B WANG, K LI et al. Anchor-free oriented proposal generator for object detection. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11(2022).

[24] K LI, G WAN, G CHENG et al. Object detection in optical remote sensing images: a survey and a new benchmark. ISPRS Journal of Photogrammetry and Remote Sensing, 159, 296-307(2020).

[25] Y ZHOU, X YANG, G F ZHANG et al. Mmrotate: a rotated object detection benchmark using pytorch, 7331-7334(2022).

[28] J LI, Y X GONG, Z MA et al. Enhancing feature fusion using attention for small object detection, 1859-1863(2022).

[29] Y YUAN, Y L ZhANG. OLCN: an optimized low coupling network for small objects detection. IEEE Geoscience and Remote Sensing Letters, 19, 1-5(2021).