Technical Program

Session Detail

Session Title TU3.R5: Deep Learning for Object Detection II
Presentation Mode Oral
Session Time Tuesday, 30 July, 13:40 - 15:20
Location Room 315
Session ChairsFeng Xu, Fudan University and Begüm Demir, Technische Universität Berlin

TU3.R5.1: MERGENET: FEATURE-MERGED NETWORK FOR MULTI-SCALE OBJECT DETECTION IN REMOTE SENSING IMAGES
         Peijin Wang; Institute of Electronics, Chinese Academy of Sciences
         Xian Sun; Institute of Electronics, Chinese Academy of Sciences
         Wenhui Diao; Institute of Electronics, Chinese Academy of Sciences
         Kun Fu; Institute of Electronics, Chinese Academy of Sciences

TU3.R5.3: MULTI-SCALE SHIPS DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGE VIA SALIENCY-BASED REGION CONVOLUTIONAL NEURAL NETWORK
         Zezhong Li; Beijing University of Posts and Telecommunications
         Yanan You; Beijing University of Posts and Telecommunications
         Fang Liu; Beijing University of Posts and Telecommunications

TU3.R5.4: DEEP LEARNING MODEL FOR TARGET DETECTION IN REMOTE SENSING IMAGES FUSING MULTILEVEL FEATURES
         Xili Wang; Shaanxi Normal University
         Yue Ban; Shaanxi Normal University
         Huimin Guo; Nanyang Technological University
         Ling Hong; Shaanxi Normal University

TU3.R5.5: EVALUATING DEEP CONTEXTUAL DESCRIPTION OF SUPERPIXELS FOR DETECTION IN AERIAL IMAGES
         Eduardo Tavares; Universidade Federal de Minas Gerais
         Ricardo da S. Torres; University of Campinas
         Jefersson dos Santos; Universidade Federal de Minas Gerais