WE3.PA.2
IMPROVE REAL-TIME FLOOD SEGMENTATION BY ENCODING AND DISTILLING FOREGROUND INFORMATION
Pantelis Mentesidis, Vasileios Mygdalis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
Session:
WE3.PA: Machine Learning in Signal Processing 11 Poster
Track:
[ML] Machine Learning in Signal Processing
Location:
Poster Area A
Presentation Time:
Wed, 17 Sep, 10:00 - 11:30 Anchorage Time (UTC -8)
Session Chair:
Thomas Richter, Fraunhofer IIS
Presentation
Discussion
Resources
No resources available.
Session WE3.PA
WE3.PA.1: OBLIQUE DECISION TREES AS AN IMAGE MODEL FOR CUBIST IMAGE RESTYLING
Edric Chan, Great Oak High School, United States; Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, University of California, Merced, United States
WE3.PA.2: IMPROVE REAL-TIME FLOOD SEGMENTATION BY ENCODING AND DISTILLING FOREGROUND INFORMATION
Pantelis Mentesidis, Vasileios Mygdalis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
WE3.PA.3: SLICE: SYNTHETIC CAPTION-TRAINED LIGHTWEIGHT IMAGE CAPTIONER FOR EDGE DEVICES
Shayan Joya, Soroush Fatemifar, Ali Akbari, Andrew Sheppard, Christopher Alder, Samsung Research UK, United Kingdom
WE3.PA.4: TOWARDS ALL-TIME, ALL-WEATHER FOD DETECTION THROUGH GENERATIVE AI
Xi Qin, Sirui Song, Jackson Brengman, Chris Bartone, Jundong Liu, Ohio University, United States
WE3.PA.5: EFFICIENT LEAF DISEASE CLASSIFICATION AND SEGMENTATION USING MIDPOINT NORMALIZATION TECHNIQUE AND ATTENTION MECHANISM
Enam Ahmed Taufik, Antara Firoz Parsa, BRAC University, Bangladesh; Seraj Al Mahmud Mostafa, University of Maryland, Baltimore County, Bangladesh
WE3.PA.6: CROSS-MODAL ATTENTION WITH ADAPTIVE AND HIERARCHICAL FUSION FOR ROBUST RGB-T IMAGE SEGMENTATION FOR SAFE DRIVING
Saheli Hazra, Ujjwal Bhattacharya, Indian Statistical Institute, India
WE3.PA.7: ANCHOR-BASED GRAVITY ALIGNMENT FOR PANORAMAS
Matheus Alan Bergmann, Rômulo Marconato Stringhini, Thiago Lopes Trugillo da Silveira, Claudio Rosito Jung, Universidade Federal do Rio Grande do Sul, Brazil
WE3.PA.8: REAL-TIME TRAFFIC ACCIDENT ANTICIPATION WITH FEATURE REUSE
Inpyo Song, Jangwon Lee, SungKyunKwan University, Korea (South)
WE3.PA.9: SPECTRAL MIXING AUGMENTATION FOR PREVENTING FALSE POSITIVES FROM HYPERSPECTRAL ANOMALY DETECTION
Sangmin Kim, Jungkwon Kim, Chi Zhang, Jungi Lee, Kwangsun Yoo, Seok-Joo Byun, ELROILAB, Korea (South)
WE3.PA.10: CGD-MAE: CLIP DISTILLATION-DRIVEN PRE-TRAINING FRAMEWORK FOR VEHICLE RE-IDENTIFICATION
Eurico Almeida, Bruno Silva, Alexandre Marques, Pedro Ferreira, Jorge Batista, Institute of Systems and Robotics, University of Coimbra, Portugal
WE3.PA.11: PAWPRINT: WHOSE FOOTPRINTS ARE THESE? IDENTIFYING ANIMAL INDIVIDUALS BY THEIR FOOTPRINTS
Inpyo Song, Hyemin Hwang, Jangwon Lee, SungKyunKwan University, Korea (South)
Contacts