Segui
Xue Yang (杨学)
Xue Yang (杨学)
Altri nomi杨学, Xue Yang
Shanghai AI Laboratory; Shanghai Jiao Tong University
Email verificata su sjtu.edu.cn - Home page
Titolo
Citata da
Citata da
Anno
Scrdet: Towards more robust detection for small, cluttered and rotated objects
X Yang, J Yang, J Yan, Y Zhang, T Zhang, Z Guo, X Sun, K Fu
International Conference on Computer Vision (ICCV'19), 8232-8241, 2019
9872019
R3det: Refined single-stage detector with feature refinement for rotating object
X Yang, J Yan, Z Feng, T He
Thirty-Five AAAI Conference on Artificial Intelligence (AAAI'21) 35 (4 …, 2021
9812021
Automatic ship detection in remote sensing images from google earth of complex scenes based on multiscale rotation dense feature pyramid networks
X Yang, H Sun, K Fu, J Yang, X Sun, M Yan, Z Guo
Remote sensing 10 (1), 132, 2018
5672018
Arbitrary-Oriented Object Detection with Circular Smooth Label
X Yang, J Yan
European Conference on Computer Vision (ECCV'20), 677--694, 2020
5552020
Rethinking rotated object detection with gaussian wasserstein distance loss
X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian
International Conference on Machine Learning (ICML'21), 11830-11841, 2021
4412021
Learning modulated loss for rotated object detection
W Qian, X Yang, S Peng, Y Guo, J Yan
Thirty-Five AAAI Conference on Artificial Intelligence (AAAI'21) 35 (3 …, 2021
3732021
Learning high-precision bounding box for rotated object detection via kullback-leibler divergence
X Yang, XJ Yang, J Yang, Q Ming, W Wang, Q Tian, J Yan
Advances in Neural Information Processing Systems (NeurIPS'21) 34, 2021
3712021
Dense label encoding for boundary discontinuity free rotation detection
X Yang, L Hou, Y Zhou, W Wang, J Yan
Computer Vision and Pattern Recognition (CVPR'21), 15819-15829, 2021
3172021
A densely connected end-to-end neural network for multiscale and multiscene SAR ship detection
J Jiao, Y Zhang, H Sun, X Yang, X Gao, W Hong, K Fu, X Sun
IEEE Access 6, 20881-20892, 2018
3082018
Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing
X Yang, J Yan, W Liao, XK Yang, J Tang, T He
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 45 (2 …, 2022
2822022
MMRotate: A rotated object detection benchmark using pytorch
Y Zhou*, X Yang*, G Zhang, J Wang, Y Liu, L Hou, X Jiang, X Liu, J Yan, ...
The 30th ACM International Conference on Multimedia (ACM MM'22, Oral, Open …, 2022
2532022
Position detection and direction prediction for arbitrary-oriented ships via multitask rotation region convolutional neural network
X Yang, H Sun, X Sun, M Yan, Z Guo, K Fu
IEEE access 6, 50839-50849, 2018
1982018
The KFIoU Loss for Rotated Object Detection
X Yang, Y Zhou, G Zhang, J Yang, W Wang, J Yan, X Zhang, Q Tian
International Conference on Learning Representations (ICLR'23), 2023
1732023
On the arbitrary-oriented object detection: Classification based approaches revisited
X Yang, J Yan
International Journal of Computer Vision (IJCV) 130 (5), 1340-1365, 2022
1592022
Optimization for arbitrary-oriented object detection via representation invariance loss
Q Ming, L Miao, Z Zhou, X Yang, Y Dong
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
992021
Detecting rotated objects as gaussian distributions and its 3-d generalization
X Yang, G Zhang, XJ Yang, Y Zhou, W Wang, J Tang, T He, J Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
782022
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
Z Liu, Y He, W Wang, W Wang, Y Wang, S Chen, Q Zhang, Y Yang, Q Li, ...
arXiv preprint arXiv:2305.05662, 2023
772023
Sparse label assignment for oriented object detection in aerial images
Q Ming, L Miao, Z Zhou, J Song, X Yang
Remote Sensing 13 (14), 2664, 2021
692021
G-rep: Gaussian representation for arbitrary-oriented object detection
L Hou, K Lu, X Yang, Y Li, J Xue
Remote Sensing 15 (3), 757, 2023
592023
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
X Yang, G Zhang, W Li, X Wang, Y Zhou, J Yan
International Conference on Learning Representations (ICLR'23), 2023
522023
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