| 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 Chairs | Feng 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 |