TU2.L2: Deep Networks for Detection and Recognition I |
| Session Type: Oral |
| Time: Tuesday, July 25, 10:40 - 12:20 |
| Location: Ballroom A |
| Session Chair: Leyuan Fang, Hunan University |
| 10:40 - 11:00 |
| TU2.L2.1: DEEP CONVOLUTIONAL NEURAL NETWORK BASED LARGE-SCALE OIL PALM TREE DETECTION FOR HIGH-RESOLUTION REMOTE SENSING IMAGES |
| Weijia Li; Tsinghua University |
| Haohuan Fu; Tsinghua University |
| Le Yu; Tsinghua University |
| 11:00 - 11:20 |
| TU2.L2.2: EVALUATION THE PERFORMANCE OF FULLY CONVOLUTIONAL NETWORKS FOR BUILDING EXTRACTION COMPARED WITH SHALLOW MODELS |
| Youyou Li; University of Electronic Science and Technology of China |
| Binbin He; University of Electronic Science and Technology of China |
| Teng Long; University of Electronic Science and Technology of China |
| Xiaojing Bai; University of Electronic Science and Technology of China |
| 11:20 - 11:40 |
| TU2.L2.3: HIERARCHICAL FEATURE EXTTRATCTION FOR OBJECT RECOGITION IN COMPLEX SAR IMAGE USING MODIFIED CONVOLUTIONAL AUTO-ENCODER |
| Sirui Tian; Nanjing University of Science and Technology |
| Chao Wang; Chinese Academy of Sciences |
| Hong Zhang; Chinese Academy of Sciences |
| 11:40 - 12:00 |
| TU2.L2.4: FAST MULTICLASS OBJECT DETECTION IN OPTICAL REMOTE SENSING IMAGES USING REGION BASED CONVOLUTIONAL NEURAL NETWORKS |
| Zhipeng Deng; National University of Defense Technology |
| Hao Sun; National University of Defense Technology |
| Shilin Zhou; National University of Defense Technology |
| Juanping Zhao; Shanghai Jiao Tong University |
| Lin Lei; National University of Defense Technology |
| Huanxin Zou; National University of Defense Technology |
| 12:00 - 12:20 |
| TU2.L2.5: TRAINING DEEP CONVOLUTION NEURAL NETWORK WITH HARD EXAMPLE MINING FOR AIRPORT DETECTION |
| Bowen Cai; Beihang University |
| Zhiguo Jiang; Beihang University |
| Haopeng Zhang; Beihang University |
| Yuan Yao; Beihang University |
| Jie Huang; Beihang University |
