IVMSP-31.6
Novel Class Discovery: A Dependency Approach
Tanmoy Mukherjee, Nikos Deligiannis, VUB/IMEC, Belgium
Session:
Image and Video Representation
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area I
Presentation Time:
Wed, 11 May, 23:00 - 23:45 China Time (UTC +8)
Wed, 11 May, 15:00 - 15:45 UTC
Wed, 11 May, 15:00 - 15:45 UTC
Session Chair:
Rosa Gonzalez Hautamaeki, National University of Singapore
Session IVMSP-31
IVMSP-31.1: COUPLED FEATURE LEARNING VIA STRUCTURED CONVOLUTIONAL SPARSE CODING FOR MULTIMODAL IMAGE FUSION
Farshad G. Veshki, Sergiy A. Vorobyov, Aalto university, Finland
IVMSP-31.2: DomainDesc: Learning Local Descriptors with Domain Adaptation
Rongtao Xu, Weiliang Meng, Xiaopeng Zhang, Institute of Automation, Chinese Academy of Sciences, Beijing, China, China; Changwei Wang, Institute of Automation，Chinese Academy of Sciences, China; Bin Fan, University of Science and Technology, China; Yuyang Zhang, Institute of Automation, Chinese Academy of Sciences, China; Shibiao Xu, Beijing University of Posts and Telecommunications, China
IVMSP-31.3: Multi-Head ReLU Implicit Neural Representation Networks
Arya Aftab, Sharif University of Technology, Iran (Islamic Republic of); Alireza Morsali, McGill University, Canada; Shahrokh Ghaemmaghami, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran, Iran (Islamic Republic of)
IVMSP-31.4: AN EFFICIENT METHOD FOR MODEL PRUNING USING KNOWLEDGE DISTILLATION WITH FEW SAMPLES
Zhaojing Zhou, Zhuqing Jiang, Aidong Men, Haiying Wang, Beijing University of Posts and Telecommunications, China; Yun Zhou, National Radio and Television Administration, China
IVMSP-31.5: ADAPTIVE INTRA-GROUP AGGREGATION FOR CO-SALIENCY DETECTION
Guangyu Ren, Tianhong Dai, Tania Stathaki, Imperial College London, United Kingdom of Great Britain and Northern Ireland
IVMSP-31.6: Novel Class Discovery: A Dependency Approach
Tanmoy Mukherjee, Nikos Deligiannis, VUB/IMEC, Belgium