MLSP-P68.6
Hierarchical Contrastive Learning of Point Clouds Based on P-Norm Pooling
Kuan Liu, Yanmin Zhu, Shanghai Jiao Tong University, China; Ke Wang, Chongqing University, China; Gang Zhou, Hangzhou Innovation Institute, Beihang University, Hangzhou, China, China
Session:
MLSP-P68: Unsupervised Learning Methods for Signal Processing Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 10
Presentation Time:
Thu, 7 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session MLSP-P68
MLSP-P68.1: INVISIBLE BACKDOOR ATTACKS ON SELF-SUPERVISED LEARNING VIA MULTI-CHANNEL ADAPTIVE STEGANOGRAPHY
Wei Shu, Yuanbo Li, Cong Hu, Jiangnan University, China
MLSP-P68.2: DOMAIN DISTILLATION WITH TRANSFORMER FOR UNSUPERVISED DOMAIN ADAPTATION
Eunseop Lee, JoengJun Lee, YoungMin Moon, Research Institute of Industrial Science & Technology, Korea, Republic of
MLSP-P68.3: LFMIM: Low-Frequency Enhanced Reconstruction for Few-Shot SAR-ATR
Ruoxue Li, Shuyuan Yang, XIDIAN UNIVERSITY, China; Hao Hu, Xi'an Jiaotong University, China; Zhixi Feng, Yue Ma, XIDIAN UNIVERSITY, China
MLSP-P68.4: 2 IN 1: A DUAL-PURPOSE APPROACH FOR EO-SAR SHIP DETECTION WITH SOURCE-FREE DOMAIN ADAPTATION
Beomseok Oh, Minsu Kim, Areum Han, Juhyeon Han, Sunok Kim, Korea Aerospace University, Korea, Republic of
MLSP-P68.5: DASE: MAXIMUM ENTROPY DATA SELECTION FOR BALANCED PRETRAINING CORPORA OF LARGE LANGUAGE MODELS
Jie Xiong, Fangxiu Zhong, Jun Wang, Yang Zhang, Southwestern University of Finance and Economics, China; Li Yu, Renmin University of China, China
MLSP-P68.6: Hierarchical Contrastive Learning of Point Clouds Based on P-Norm Pooling
Kuan Liu, Yanmin Zhu, Shanghai Jiao Tong University, China; Ke Wang, Chongqing University, China; Gang Zhou, Hangzhou Innovation Institute, Beihang University, Hangzhou, China, China
MLSP-P68.7: ETUDE: PIANO COVER GENERATION WITH A THREE-STAGE APPROACH — EXTRACT, STRUCTURALIZE, AND DECODE
Tse-Yang Chen, Yuh-Jzer Joung, National Taiwan University, Taiwan
Contacts