TUP2.PI.6
VISUAL STATE-SPACE BASED MULTI-TASK LEARNING FOR BUILDING SEGMENTATION AND HEIGHT ESTIMATION
Sinan U. Ulu, Can Yagmur, Hasan F. Ates, Ozyegin University, Turkey; Bahadir K. Gunturk, Istanbul Medipol University, Turkey; Oguz Hanoglu, Huawei Turkiye Research and Development Center, Turkey
Session:
TUP2.PI: Image Segmentation Applications in Agriculture, Environment, and Urban Monitoring Poster
Track:
Data Analysis
Location:
Poster Area
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session TUP2.PI
TUP2.PI.1: 10M RESOLUTION OF INDONESIA AND MALAYSIA OIL PALM PLANTATION MAP: SENTINEL-2 BASED APPROACH
Nuttaset Kuapanich, Jiaying Liu, Jiayin Jiang, Jiatao Huang, Juepeng Zheng, Sun Yat-sen University, China
TUP2.PI.2: DEEP LEARNING DATA FUSION APPROACH FOR AQUACULTURE FACILITY DETECTION
Seo Jin Kim, Hahn Chul Jung, Do-Hyun Hwang, Seung Jun Lee, Yonsei University, Korea (South); Moung-Jin Lee, Korea Environment Institute, Korea (South)
TUP2.PI.3: Multiple Image acquisition workflow for discontinuity network characterization in karst caves
Ademir Marques Jr, Graciela Racolte, Vinicius Sales, Daniel Zanotta, Unisinos University, Brazil; Delano Ibanez, Petrobras, Brazil; Maurício Veronez, Luiz Gonzaga Jr, Unisinos University, Brazil
TUP2.PI.4: WasteSort-AI: Hybrid Deep Learning Pipeline for the Classification of Recyclable Materials
Hafiz Muhammad Abubakar, Hasnain Ahmad, Beaconhouse National University, Pakistan; Wahaj Ul Islam, Knowledge Streams, Pakistan; Imrana Tiwana, Usman Nazir, Beaconhouse National University, Pakistan
TUP2.PI.5: Urban Slum Delineation in Mumbai: A Detection-Segmentation Approach
Anjali Raj, Kalepu Avinash, Adway Mitra, Indian Institute of Technology Kharagpur, India; Manjira Sinha, Tata Consultancy Services Research, India
TUP2.PI.6: VISUAL STATE-SPACE BASED MULTI-TASK LEARNING FOR BUILDING SEGMENTATION AND HEIGHT ESTIMATION
Sinan U. Ulu, Can Yagmur, Hasan F. Ates, Ozyegin University, Turkey; Bahadir K. Gunturk, Istanbul Medipol University, Turkey; Oguz Hanoglu, Huawei Turkiye Research and Development Center, Turkey
TUP2.PI.7: From Pixels to Parcels: Machine Learning-Based Agricultural Land Parcel Delineation in Kharkiv Oblast, Ukraine
Gizem Senel, Gautam Dadhich, Tiphaine Anne Lucas, Stanislav Ostapenko, Matieu Henry, Livia Peiser, Luis Amaya Ortiz, Filippo Sarvia, Food and Agriculture Organization of the United Nations (FAO), Italy; Pavlo Ostapenko, Volodymyr Shvaiko, Oleksandr Bonchkovskyi, Ukrainian Researchers Society, Ukraine
TUP2.PI.8: LEVERAGING MULTI-TEMPORAL INFORMATION THROUGH ATTENTION-BASED UNET FOR IMPROVED DETECTION OF SEASONALLY VARIABLE SUBSURFACE FEATURES
Andaleeb Yaseen, Ca’ Foscari University, Italy; Giulio Poggi, Marco Fiorucci, Arianna Traviglia, Center for Cultural Heritage Technology, Istituto Italiano di Tecnologia, Italy; Sebastiano Vascon, Ca’ Foscari University, Italy
TUP2.PI.9: Mapping Coffee Plantations in Brazil Using Sentinel-1 and Planet NICFI Data with Deep Learning Models
Anesmar Albuquerque, Osmar Abílio de Carvalho Junior, Osmar Carvalho, Joelma Moura, Hugo Filho, Dora Antony, University of Brasília, Brazil
TUP2.PI.10: CROSS-SCALE WATER BODY EXTRACTION FROM VERY-HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON SEGMENT ANYTHING MODEL 2
Tianyi Zhang, Yi Ren, Weibin Li, Xuan Sun, Xidian University, China; Xihui Feng, Ministry of Natural Resources, China; Chenhao Qin, Wenbo Ji, Xidian University, China
TUP2.PI.11: Zero-Shot Detection of Center Pivots with Segment Anything Model and Geometric Heuristics
Osmar Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Albuquerque, University of Brasília, Brazil
TUP2.PI.12: Multi-label Vegetation Segmentation Dataset for Urban and Forest Regions in South Korea
Changhui Lee, Aisha Javed, Seoul National University of Science and Technology, Korea (South); Heein Yang, Daehee Kim, CONTEC, Korea (South); Nayoung Kim, Youkyung Han, Seoul National University of Science and Technology, Korea (South)
Resources
No resources available.