دنبال کردن
Hang Ran
عنوان
نقل شده توسط
نقل شده توسط
سال
A survey on few-shot class-incremental learning
S Tian, L Li, W Li, H Ran, X Ning, P Tiwari
Neural Networks 169, 307-324, 2024
1042024
Continuous transfer of neural network representational similarity for incremental learning
S Tian, W Li, X Ning, H Ran, H Qin, P Tiwari
Neurocomputing 545, 126300, 2023
512023
3D human pose and shape estimation via de-occlusion multi-task learning
H Ran, X Ning, W Li, M Hao, P Tiwari
Neurocomputing 548, 126284, 2023
202023
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning
H Ran, W Li, L Li, S Tian, X Ning, P Tiwari
Information Processing & Management 61 (3), 103664, 2024
192024
Brain-Inspired Fast-and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning
H Ran, X Gao, L Li, W Li, S Tian, G Wang, H Shi, X Ning
IEEE transactions on neural networks and learning systems, 2024
72024
Maize hybrid seed purity identification based on near infrared reflectance (NIR) and transmittance (NIT) spectra
TX Li, SQ Jia, X Liu, SY Zhao, H Ran, YL Yan, D An
Guang pu xue yu Guang pu fen xi= Guang pu 35 (12), 3388-3392, 2015
72015
Pl-fscil: Harnessing the power of prompts for few-shot class-incremental learning
S Tian, L Li, W Li, H Ran, L Li, X Ning
arXiv preprint arXiv:2401.14807, 2024
62024
Identification of maize seed purity based on spectral images of a small amount of near infrared bands
R Hang, C Yong-jin, J Zhao-xi, Y Yan-lu, A Dong
SPECTROSCOPY AND SPECTRAL ANALYSIS 37 (9), 2743-2750, 2017
52017
Study of modeling samples selection method based on near infrared spectrum
ZX Jin, XJ Zhang, FY Luo, D An, SY Zhao, H Ran, YL Yan
Guang pu xue yu Guang pu fen xi= Guang pu 36 (12), 3920-3925, 2016
42016
Study on the Influence on Maize Hybrid Identification Based on Different Intensity of High Strength and High Efficiency Near-Infrared Light
Z Sheng-yi, R Hang, J Zhao-xi, C Yong-jin, Y Yan-lu, A Dong.
SPECTROSCOPY AND SPECTRAL ANALYSIS 37 (5), 1386-1390, 2017
2017
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–10