My Schedule |
Add to My Schedule
|
Paper Title |
SHIPDENET-18: AN ONLY 1 MB WITH ONLY 18 CONVOLUTION LAYERS LIGHT-WEIGHT DEEP LEARNING NETWORK FOR SAR SHIP DETECTION |
Paper Identifier | WE1.R18.1 |
---|
Authors |
Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, University of Electronic Science and Technology of China, China |
Session |
Vessels Detection using Remote Sensing Data |
Session Time |
Wed, 30 Sep, 12:00 - 14:00 UTC
Wed, 30 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
|
Presentation Time [This Paper Only] |
Wed, 30 Sep, 12:00 - 12:10 UTC
Wed, 30 Sep, 20:00 - 20:10 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 14:10 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 05:10 Pacific Daylight Time (UTC -7)
|
Presentation Mode |
Virtual
|
Topic |
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Object Detection and Recognition
|