MP1.L4.3
Improving Automatic Target Recognition with Infrared Imagery using Vision Transformers and Focused Data Augmentation
Nada Baili, Hichem Frigui, University of Louisville, United States of America
Session:
MP1.L4: Robust Machine Learning Methods for Image & Video Processing - I Lecture
Track:
Visual Artificial Intelligence
Location:
Lecture Room 4
Presentation Time:
Mon, 28 Oct, 15:06 - 15:24 Gulf Standard Time (UTC +4)
Session Chair:
Hasan AlMarzouqi, Khalifa University of Science and Technology
Session MP1.L4
MP1.L4.1: ADVERSARIAL ROBUSTNESS FOR DEEP METRIC LEARNING
Ezgi Paket, İnci M. Baytaş, Bogazici University, Türkiye
MP1.L4.2: ADVERSARIAL DETECTION TRANSFORMER FOR KUZUSHIJI RECOGNITION
Pengfeng Lu, Sei-ichiro Kamata, Mengyunqiu Zhang, Weilian Zhou, Waseda University, Japan
MP1.L4.3: Improving Automatic Target Recognition with Infrared Imagery using Vision Transformers and Focused Data Augmentation
Nada Baili, Hichem Frigui, University of Louisville, United States of America
MP1.L4.4: GRAPH CONVOLUTIONAL NETWORKS WITH MINIMAL APPEARANCE INFORMATION FOR ACTION RECOGNITION
Hiroaki Tani, Toshiba Corporation, Japan
MP1.L4.5: KNOWLEDGE-INFUSED LEARNING FOR FINE-GRAINED PLANT DISEASE RECOGNITION
Jamil Ahmad, Mohamed bin Zayed University of AI, United Arab Emirates; Wail Gueaieb, Abdulmotaleb El Saddik, University of Ottawa, Canada; Giulia De Masi, Technology Innovation Institute, United Arab Emirates; Fakhri Karray, Mohamed bin Zayed University of AI, United Arab Emirates
Contacts