Optics and Precision Engineering, Volume. 31, Issue 22, 3383(2023)
Fine segmentation and stable tracking of spacecraft components
[1] FLORESABAD A, MA O, PHAM K et al. A review of space robotics technologies for on-orbit servicing[J]. Progress in Aerospace Sciences, 68, 1-26(2014).
[2] [2] 苏丽, 孙雨鑫, 苑守正. 基于深度学习的实例分割研究综述[J]. 智能系统学报, 2022, 17(1): 16-31. doi: 10.11992/tis.202109043SUL, SUNY X, YUANS Z. A survey of instance segmentation research based on deep learning[J]. CAAI Transactions on Intelligent Systems, 2022, 17(1): 16-31.(in Chinese). doi: 10.11992/tis.202109043
[3] REDMON J, FARHADI A. YOLOv3: an incremental improvement[J]. arXiv preprint arXiv(1804).
[4] HURTIK P, MOLEK V, HULA J et al. Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3[J]. Neural Computing and Applications, 34, 8275-8290(2022).
[5] REN S Q, HE K M, GIRSHICK R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).
[6] HE K M, GKIOXARI G, DOLLÁR P et al. Mask R-CNN[C], 2980-2988(22).
[7] CAI Z W, VASCONCELOS N. Cascade R-CNN: high quality object detection and instance segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 1483-1498(2021).
[8] LIU S, JIA J Y, FIDLER S et al. SGN: sequential grouping networks for instance segmentation[C], 3516-3524(22).
[9] GAO N Y, SHAN Y H, WANG Y P et al. SSAP: single-shot instance segmentation with affinity pyramid[C], 642-651.
[10] REDMON J, DIVVALA S, GIRSHICK R et al. You only look once: unified, real-time object detection[C], 779-788(27).
[11] WANG X L, KONG T, SHEN C H et al. SOLO: segmenting objects by locations[C], 649-665(23).
[13] BEWLEY A, GE Z Y et al. Simple online and realtime tracking[C], 3464-3468(25).
[14] CAO J K, PANG J M, WENG X S et al. Observation-centric SORT: rethinking sort for robust multi-object tracking[C], 9686-9696(17).
[15] WOJKE N, BEWLEY A, PAULUS D. Simple online and realtime tracking with a deep association metric[C], 3645-3649(17).
[16] MAGGIOLINO G, AHMAD A, CAO J K et al. Deep OC-Sort: multi-pedestrian tracking by adaptive re-identification[C], 3025-3029(8).
[17] CHENG H K, CHUNG J, TAI Y W et al. CascadePSP: toward class-agnostic and very high-resolution segmentation via global and local refinement[C], 8887-8896(13).
[18] ZHAI Q, HUANG R, CHENG H et al. Learning quintuplet loss for large-scale visual geolocalization[J]. IEEE MultiMedia, 27, 34-43(2020).
[19] BOLYA D, ZHOU C, XIAO F Y et al. YOLACT: Real-Time instance segmentation[C], 9156-9165.
[20] HE K M, ZHANG X Y, REN S Q et al. Deep residual learning for image recognition[C], 770-778(27).
[21] CHENG T H, WANG X G, CHEN S Y et al. Sparse instance activation for real-time instance segmentation[C], 4423-4432(18).
[22] LIU Z, LIN Y T, CAO Y et al. Swin Transformer: hierarchical vision transformer using shifted windows[C], 9992-10002(10).
[23] SCHROFF F, KALENICHENKO D, PHILBIN J. FaceNet: a unified embedding for face recognition and clustering[C], 815-823(7).
Get Citation
Copy Citation Text
Yadong SHAO, Yuanbin SHAO, Aodi WU, Xue WAN. Fine segmentation and stable tracking of spacecraft components[J]. Optics and Precision Engineering, 2023, 31(22): 3383
Category:
Received: Jun. 14, 2023
Accepted: --
Published Online: Dec. 29, 2023
The Author Email: Xue WAN (wanxue@csu.ac.cn)