WE1.R13.4
DUAL-DOMAIN FEATURE REPRESENTATION BASED CONTRASTIVE NETWORK FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION
Rujun Zhang, Wenming Cao, Shenzhen University; Qifan Liu, Shenzhen Polytechnic University
Session:
WE1.R13: Unsupervised, Few Shot, and Transfer Learning Oral
Track:
Theory and Techniques
Location:
Georgetown West
Presentation Time:
Wednesday, 12 August, 09:15 - 09:30
Session Co-Chairs:
Melba M. Crawford, Purdue University and Jiaqi Yang, University of Wisconsin
Presentation
Discussion
Resources
No resources available.
Session WE1.R13
WE1.R13.1: MHH-PROTONET: LEVERAGING HIERARCHICAL LABEL ONTOLOGY FOR ENHANCED FEW-SHOT SCENE CLASSIFICATION
Keli Cheng, Grant Scott, University of Missouri; Weipeng Wu, Northwest Missouri State University
WE1.R13.2: CLUSTERING NDVI TIME SERIES TO ESTIMATE PHENOLOGY CURVES IN NORTHWESTERN MEXICAN ARID MANGROVES
Inder Tecuapetla-Gómez, Secretaria de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI); Samuel Velázquez-Salazar, Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO)
WE1.R13.3: DEEP SPATIALLY-REGULARIZED AND SUPERPIXEL-BASED DIFFUSION LEARNING FOR UNSUPERVISED HYPERSPECTRAL IMAGE CLUSTERING
Vutichart Buranasiri, James Murphy, Tufts University
WE1.R13.4: DUAL-DOMAIN FEATURE REPRESENTATION BASED CONTRASTIVE NETWORK FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION
Rujun Zhang, Wenming Cao, Shenzhen University; Qifan Liu, Shenzhen Polytechnic University
Resources
No resources available.