Optics and Precision Engineering, Volume. 31, Issue 12, 1859(2023)
Few-shot object detection on Thangka via multi-scale context information
[1] GIRSHICK R, DONAHUE J, DARRELL T et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation[C], 580-587(23).
[2] GIRSHICK R. Fast R-CNN[C], 1440-1448(7).
[3] 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).
[4] LIU W, ANGUELOV D, ERHAN D et al.
[5] REDMON J, DIVVALA S, GIRSHICK R et al. You Only Look Once: Unified, Real-Time Object Detection[C], 779-788(27).
[6] REDMON J, FARHADI A. YOLO9000: Better, Faster, Stronger[C], 6517-6525(21).
[9] CHEN Q, WANG Y M, YANG T et al. You Only Look One-Level Feature[C], 13034-13043(20).
[10] KARLINSKY L, SHTOK J, HARARY S et al. RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection[C], 5192-5201(15).
[11] YAN X P, CHEN Z L, XU A N et al. Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning[C], 9576-9585.
[12] CHEN H, WANG Y L, WANG G Y et al. LSTD: A Low-Shot Transfer Detector for Object Detection[C], 32(2018).
[13] KANG B Y, LIU Z, WANG X et al. Few-Shot Object Detection via Feature Reweighting[C], 8419-8428(2019).
[15] SUN B, LI B H, CAI S C et al. FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding[C], 7348-7358(2021).
[16] OKSUZ K, CAM B C, AKBAS E et al. Rank & Sort Loss for Object Detection and Instance Segmentation[C], 2989-2998(10).
[17] LIN T Y, DOLLÁR P, GIRSHICK R et al. Feature Pyramid Networks For Object Detection[C], 936-944(21).
[19] WU J X, LIU S T, HUANG D et al. Multi-Scale Positive Sample Refinement for Few-Shot Object Detection[M]. Computer Vision - ECCV 2020, 456-472(2020).
Get Citation
Copy Citation Text
Wenjin HU, Huiyuan TANG, Chaoyang YUE, Huafei SONG. Few-shot object detection on Thangka via multi-scale context information[J]. Optics and Precision Engineering, 2023, 31(12): 1859
Category: Information Sciences
Received: Aug. 22, 2022
Accepted: --
Published Online: Jul. 25, 2023
The Author Email: Wenjin HU (wenjin_zhm@126.com)