Lu Zhang
Lu Zhang
Doctoral student, Fudan University
Zweryfikowany adres z fudan.edu.cn
Cytowane przez
Cytowane przez
Accurate few-shot object detection with support-query mutual guidance and hybrid loss
L Zhang, S Zhou, J Guan, J Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery--A Focus on Affinity Prediction Problems with Noise Annotations
Y Ji, L Zhang, J Wu, B Wu, LK Huang, T Xu, Y Rong, L Li, J Ren, D Xue, ...
arXiv preprint arXiv:2201.09637, 2022
Weakly-supervised text classification based on keyword graph
L Zhang, J Ding, Y Xu, Y Liu, S Zhou
arXiv preprint arXiv:2110.02591, 2021
Dp-ssl: Towards robust semi-supervised learning with a few labeled samples
Y Xu, J Ding, L Zhang, S Zhou
Advances in Neural Information Processing Systems 34, 15895-15907, 2021
Learning latent semantic attributes for zero-shot object detection
K Wang, L Zhang, Y Tan, J Zhao, S Zhou
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
An empirical study and comparison of recent few-shot object detection algorithms
T Liu, L Zhang, Y Wang, J Guan, Y Fu, S Zhou
arXiv e-prints, arXiv: 2203.14205, 2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
L Zhang, Y Wang, J Zhou, C Zhang, Y Zhang, J Guan, Y Bian, S Zhou
Proceedings of the 30th ACM International Conference on Multimedia, 2002-2011, 2022
A high-efficiency data collection method based on maximum recharging benefit in sensor networks
C Sha, QW Wang, L Zhang, RC Wang
Sensors 18 (9), 2887, 2018
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
M Zhao, L Zhang, Y Xu, J Ding, J Guan, S Zhou
arXiv preprint arXiv:2204.11205, 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
T Liu, L Zhang, Y Wang, J Guan, Y Fu, J Zhao, S Zhou
ACM Transactions on Intelligent Systems and Technology 14 (4), 1-36, 2023
Meta-ZSDETR: Zero-shot DETR with Meta-learning
L Zhang, C Zhang, J Zhao, J Guan, S Zhou
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
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