MLSP-P28: Deep Learning Training Methods II
Thu, 18 Apr, 16:30 - 18:30 (UTC +9)
Location: Poster Zone 3A
Session Type: Poster
Session Chair: Clive Cheong Took, Royal Holloway University of London
Track: Machine Learning for Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P28.1: PIXEL-SUPERPIXEL CONTRASTIVE LEARNING AND PSEUDO-LABEL CORRECTION FOR HYPERSPECTRAL IMAGE CLUSTERING
Renxiang Guan, National University of Defense Technology, China; Zihao Li, Xianju Li, Chang Tang, China University of Geosciences, Wuhan, China
 

MLSP-P28.2: A Machine-Learning Model for Detecting Depression, Anxiety, and Stress from Speech
Mashrura Tasnim, Ramon Diaz Ramos, University of Alberta, Canada; Luis A. Trejo, Tecnologico de Monterrey, Mexico; Eleni Stroulia, University of Alberta, Canada
 

MLSP-P28.3: A CONTRARIO PARADIGM FOR YOLO-BASED INFRARED SMALL TARGET DETECTION
Alina Ciocarlan, ONERA - The French Aerospace Lab, France; Sylvie Le Hegarat-Mascle, Université Paris-Saclay, France; Sidonie Lefebvre, ONERA - The French Aerospace Lab, France; Arnaud Woiselle, Clara Barbanson, Safran Electronics & Defense, France
 

MLSP-P28.4: TCNAS: TRANSFORMER ARCHITECTURE EVOLVING IN CODE CLONE DETECTION
Hongyan Xu, University of New South Wales, Australia; Xiaohuan Pei, Xiu Su, University of Sydney, Australia; Shan You, SenseTime Research, China; Chang Xu, The University of Sydney, Australia, Australia

MLSP-P28.5: Fractional Fourier Transform in Time Series Prediction
Emirhan Koc, Aykut Koc, Bilkent University, Türkiye
 

MLSP-P28.6: CUBIC KNOWLEDGE DISTILLATION FOR SPEECH EMOTION RECOGNITION
Zhibo Lou, Shinta Otake, Zhengxiao Li, Rei Kawakami, Nakamasa Inoue, Tokyo Institute of Technology, Japan
 

MLSP-P28.7: SIMILARITY KNOWLEDGE DISTILLATION WITH CALIBRATED MASK
Qi Wang, Wenxin Yu, Lu Che, Chang Liu, Zhiqiang Zhang, Southwest University of Science and Technology, China; Jun Gong, Southwest Automation Research Institute, China; Peng Chen, Chengdu Hongchengyun Technology Co., Ltd, China
 

MLSP-P28.8: Learning with Non-Uniform Label Noise: A Cluster-Dependent Weakly Supervised Approach
Mengtian Zhang, bo jiang, Yuye Ling, Xinbing Wang, Shanghai Jiao Tong University, China
 

MLSP-P28.9: DISTILL VISION TRANSFORMERS TO CNNS VIA TEACHER COLLABORATION
Sunqi Lin, Chong Wang, Yujie Zheng, Chenchen Tao, Xinmiao Dai, Yuqi Li, Ningbo University, China
 

MLSP-P28.10: AUDIO-AIDED LEARNING FRAMEWORK FOR IMAGE CLASSIFICATION WITH LIMITED TRAINING IMAGES
Qi Wu, Sun Yat-sen University, China; Chengjia Wang, Heriot-Watt University, United Kingdom of Great Britain and Northern Ireland; Xiaohui Li, Guangxing Wu, Sun Yat-sen University, China; Marta Vallejo, Heriot-Watt University, United Kingdom of Great Britain and Northern Ireland; Ruixuan Wang, Sun Yat-sen University, China
 

MLSP-P28.11: RADAR RECOGNITION IN THE WILD: ENHANCING RADAR EMITTER RECOGNITION THROUGH AUTO-CORRELATION MODEL-AGNOSTIC META LEARNING
Yixian Luo, Shaowu Yang, Tianrui Liu, Huibin Tan, Ruochun Jin, Hengzhu Liu, Xueqiong Li, National University of Defense Technology, China
 

MLSP-P28.12: BOOSTING ZERO-SHOT HUMAN-OBJECT INTERACTION DETECTION WITH VISION-LANGUAGE TRANSFER
Sandipan Sarma, Pradnesh Kalkar, Arijit Sur, Indian Institute of Technology Guwahati, India
 

MLSP-P28.13: ConsPrompt: Exploiting Contrastive Samples for Few-shot Prompt Learning
Jinta Weng, Yifan Deng, Donghao Li, Hao You, Yue Hu, School of Cyber Security, University of Chinese Academy of Sciences, China; Heyan Huang, Beijing Institute of Technology, Southeast Academy of Information Technology, China