This work is licensed under the Creative Commons Attribution 4.0 International License.
Azimi, S. M., Vig, E., Bahmanyar, R., Körner, M., & Reinartz, P. (2018, December). Towards multi-class object detection in unconstrained remote sensing imagery. In Asian conference on computer vision (pp. 150-165). Cham: Springer International Publishing.Search in Google Scholar
Wang, C., Bai, X., Wang, S., Zhou, J., & Ren, P. (2018). Multiscale visual attention networks for object detection in VHR remote sensing images. IEEE Geoscience and Remote Sensing Letters, 16(2), 310-314.Search in Google Scholar
Li, K., Wan, G., Cheng, G., Meng, L., & Han, J. (2020). Object detection in optical remote sensing images: A survey and a new benchmark. ISPRS journal of photogrammetry and remote sensing, 159, 296-307.Search in Google Scholar
Deng, Z., Sun, H., Zhou, S., Zhao, J., Lei, L., & Zou, H. (2018). Multi-scale object detection in remote sensing imagery with convolutional neural networks. ISPRS journal of photogrammetry and remote sensing, 145, 3-22.Search in Google Scholar
Li, X., Deng, J., & Fang, Y. (2021). Few-shot object detection on remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14.Search in Google Scholar
Sun, X., Wang, P., Wang, C., Liu, Y., & Fu, K. (2021). PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 173, 50-65.Search in Google Scholar
Liu, Y., Li, Q., Yuan, Y., Du, Q., & Wang, Q. (2021). ABNet: Adaptive balanced network for multiscale object detection in remote sensing imagery. IEEE transactions on geoscience and remote sensing, 60, 1-14.Search in Google Scholar
Fu, K., Chang, Z., Zhang, Y., Xu, G., Zhang, K., & Sun, X. (2020). Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 161, 294-308.Search in Google Scholar
Sun, X., Wang, P., Yan, Z., Xu, F., Wang, R., Diao, W., ... & Fu, K. (2022). FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 184, 116-130.Search in Google Scholar
Li, K., Cheng, G., Bu, S., & You, X. (2017). Rotation-insensitive and context-augmented object detection in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 56(4), 2337-2348.Search in Google Scholar
Ding, P., Zhang, Y., Deng, W. J., Jia, P., & Kuijper, A. (2018). A light and faster regional convolutional neural network for object detection in optical remote sensing images. ISPRS journal of photogrammetry and remote sensing, 141, 208-218.Search in Google Scholar
Cheng, G., Si, Y., Hong, H., Yao, X., & Guo, L. (2020). Cross-scale feature fusion for object detection in optical remote sensing images. IEEE Geoscience and Remote Sensing Letters, 18(3), 431-435.Search in Google Scholar
Ming, Q., Miao, L., Zhou, Z., & Dong, Y. (2021). CFC-Net: A critical feature capturing network for arbitrary-oriented object detection in remote-sensing images. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14.Search in Google Scholar
Rabbi, J., Ray, N., Schubert, M., Chowdhury, S., & Chao, D. (2020). Small-object detection in remote sensing images with end-to-end edge-enhanced GAN and object detector network. Remote Sensing, 12(9), 1432.Search in Google Scholar
Zhang, Q., Cong, R., Li, C., Cheng, M. M., Fang, Y., Cao, X., ... & Kwong, S. (2020). Dense attention fluid network for salient object detection in optical remote sensing images. IEEE Transactions on Image Processing, 30, 1305-1317.Search in Google Scholar
Han, X., Zhong, Y., & Zhang, L. (2017). An efficient and robust integrated geospatial object detection framework for high spatial resolution remote sensing imagery. Remote Sensing, 9(7), 666.Search in Google Scholar
Han, W., Kuerban, A., Yang, Y., Huang, Z., Liu, B., & Gao, J. (2021). Multi-vision network for accurate and real-time small object detection in optical remote sensing images. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.Search in Google Scholar
Chen, Z., Zhang, T., & Ouyang, C. (2018). End-to-end airplane detection using transfer learning in remote sensing images. Remote Sensing, 10(1), 139.Search in Google Scholar
Junhua wang,Laiquan Han,Yuan Jiang,Yongjun Qi & Khuder Altangerel. (2024). Monocular visual obstacle avoidance method for autonomous vehicles based on YOLOv5 in multi lane scenes. Alexandria Engineering Journal497-507.Search in Google Scholar
Han Qing,Li Longfei,Min Weidong,Wang Qi,Zeng Qingpeng,Cui Shimiao & Chen Jiongjin. (2024). Joint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification. Computational Visual Media(3),543-558.Search in Google Scholar
Li Hong,Xin Shu,Qi Wang,Hua Ye,Jinlong Shi & Caisheng Liu. (2025). CCM-Net: Color compensation and coordinate attention guided underwater image enhancement with multi-scale feature aggregation. Optics and Lasers in Engineering(P1),108590-108590.Search in Google Scholar
Alex Zabeo,Georgia Tsiliki,Andrea Brunelli,Elena Badetti,José Balbuena & Danail Hristozov. (2024). Normalised similarity assessment to inform grouping of advanced multi-component nanomaterials by means of an Asymmetric Sigmoid function.. NanoImpact100519-100519.Search in Google Scholar