MP2.L409.5
TP-YOLO: A Lightweight Attention-based Architecture for Tiny Pest Detection
Yang Di, Son Lam Phung, University of Wollongong, Australia; Julian van den Berg, Jason Clissold, Intelligent System Design, Australia; Abdesselam Bouzerdoum, University of Wollongong, Australia
Session:
MP2.L409: Attention Mechanisms and Transformers for Image Processing II Lecture
Track:
Applications of Machine Learning
Location:
Room 409
Presentation Time:
Mon, 9 Oct, 17:42 - 18:00 Malaysia Time (UTC +8)
Session Chair:
Elena Alshina, Huawei Technologies Dusseldorf GmbH
Session MP2.L409
MP2.L409.1: A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness
Huaqi Tao, Guangxi University, China; Bingxi Liu, Jinqiang Cui, Peng Cheng Laboratory, China; Hong Zhang, Southern University of Science and Technology, China
MP2.L409.2: BS-YOLOV5S: INSULATOR DEFECT DETECTION WITH ATTENTION MECHANISM AND MULTI-SCALE FUSION
Zengbin Zhang, Guohua Lv, Guixin Zhao, Yi Zhai, Jinyong Cheng, Qilu University of Technology (Shandong Academy of Sciences), China
MP2.L409.3: HIERARCHICAL TERRAIN ATTENTION AND MULTI-SCALE RAINFALL GUIDANCE FOR FLOOD IMAGE PREDICTION
Feifei Wang, Yong Wang, University of Science and Technology of China, China; Bing Li, China Water Sunny Data Technology Co., Ltd., China; Qidong Huang, Shaoqing Chen, University of Science and Technology of China, China
MP2.L409.4: WCANET: WAVELET CHANNEL ATTENTION NETWORK FOR CITRUS VARIETY IDENTIFICATION
Fukai Zhang, Southwest University, China; Xiaobo Jin, Xi’an Jiaotong-Liverpool University, China; Jie Jiang, Southwest University, China; Shan An, JD.COM Inc, China; Qiang Lyu, Southwest University, China
MP2.L409.5: TP-YOLO: A Lightweight Attention-based Architecture for Tiny Pest Detection
Yang Di, Son Lam Phung, University of Wollongong, Australia; Julian van den Berg, Jason Clissold, Intelligent System Design, Australia; Abdesselam Bouzerdoum, University of Wollongong, Australia
Contacts