MixingMask: A contour-aware approach for joint object detection and instance segmentation
-
Published:2024-11
Issue:
Volume:155
Page:110620
-
ISSN:0031-3203
-
Container-title:Pattern Recognition
-
language:en
-
Short-container-title:Pattern Recognition
Author:
Ouyang Wenzhe, Xu ZenglinORCID, Xu Jing, Wang QifanORCID, Xu Yong
Reference35 articles.
1. K. He, G. Gkioxari, P. Dollar, R.B. Girshick, Mask R-CNN, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV, 2017, pp. 2980–2988. 2. Z. Cai, N. Vasconcelos, Cascade R-CNN: High Quality Object Detection and Instance Segmentation, in: IEEE Transactions Pattern Analysis and Machine Intelligence, TPAMI, 2019, pp. 1–1. 3. K. Chen, J. Pang, J. Wang, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Shi, W. Ouyang, C.C. Loy, D. Lin, Hybrid task cascade for instance segmentation, in: IEEE Conference on Computer Vision and Pattern Recognition, 2019. 4. Y. Fang, S. Yang, X. Wang, Y. Li, C. Fang, Y. Shan, B. Feng, W. Liu, Instances As Queries, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV, 2021, pp. 6910–6919. 5. S. Ren, K. He, R. Girshick, J. Sun, Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, in: IEEE Transactions Pattern Analysis and Machine Intelligence, TPAMI, 2017.
|
|