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| Paper Title |
A Weakly Supervised Deep Learning Approach For Plant Center Detection and Counting |
| Paper Identifier | WE2.R18.4 |
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| Authors |
Azam Karami, Melba M. Crawford, Edward J. Delp, Purdue University, United States |
| Session |
Deep and Semantic Learning for Object Detection |
| Session Time |
Wed, 30 Sep, 14:30 - 16:30 UTC
Wed, 30 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Wed, 30 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Wed, 30 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
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Presentation Time [This Paper Only] |
Wed, 30 Sep, 15:00 - 15:10 UTC
Wed, 30 Sep, 23:00 - 23:10 China Standard Time (UTC +8)
Wed, 30 Sep, 17:00 - 17:10 Central Europe Time (UTC +2)
Wed, 30 Sep, 08:00 - 08:10 Pacific Daylight Time (UTC -7)
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| Presentation Mode |
Virtual
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| Topic |
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Object Detection and Recognition
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