TUP1.PM: Image Segmentation and Detection
Tuesday, 5 August, 09:15 - 10:30
Location: Plaza Ballroom: Poster Area M
Session Type: Poster
Session Co-Chairs: Giuseppe Guarino, University Federico II and Wei He, Wuhan University
Track: Data Analysis
Plaza Ballroom: Poster Area M
TUP1.PM.1: Less Is More: A Lightweight Deep Learning Network for Remote Sensing Imagery Segmentation
Plaza Ballroom: Poster Area M
TUP1.PM.2: TCNET: A TIMESTEP-CONTROLLED CYCLIC NETWORK FOR FINE-GRAINED SEMANTIC SEGMENTATION IN REMOTE SENSING IMAGES
Plaza Ballroom: Poster Area M
TUP1.PM.3: DISCRIMINATIVE PROTOTYPE-GUIDED FEATURE MATCHING NETWORK FOR REMOTE SENSING FEW-SHOT SEMANTIC SEGMENTATION
Plaza Ballroom: Poster Area M
TUP1.PM.5: U-NET- AND TRANSFORMER-BASED CLOUD MASKING FOR MULTISPECTRAL EARTH OBSERVATION SATELLITE MISSIONS
Plaza Ballroom: Poster Area M
TUP1.PM.6: REMOTE SENSING IMAGE SEGMENTATION METHOD BASED ON ADAPTIVE CUTOFF DISTANCE DENSITY PEAK CLUSTERING
Plaza Ballroom: Poster Area M
TUP1.PM.7: LIGHTWEIGHT DUAL-ENCODER UNEXT FOR REMOTE SENSING IMAGE SEGMENTATION
Plaza Ballroom: Poster Area M
TUP1.PM.8: ADAPTIVE PENALTY FACTOR FOR IMPROVED SEGMENTATION PERFORMANCE
Plaza Ballroom: Poster Area M
TUP1.PM.10: Fire and smoke detection based on deep learning segmentation method
Plaza Ballroom: Poster Area M