愤世嫉俗者 发表于 2025-3-26 22:26:27
http://reply.papertrans.cn/87/8613/861292/861292_31.png畸形 发表于 2025-3-27 04:13:09
Gerd Balzer,Claus Neumanne classification/detection performance regardless of how deep nets are because most objects in image datasets are upright and have a suitable size. Existing methods often implicitly employ the data augmentation strategy to accomplish a better recognition performance. The problem with the data augmenMILL 发表于 2025-3-27 06:52:22
Gerd Balzer,Claus Neumanne classification/detection performance regardless of how deep nets are because most objects in image datasets are upright and have a suitable size. Existing methods often implicitly employ the data augmentation strategy to accomplish a better recognition performance. The problem with the data augmenIntuitive 发表于 2025-3-27 11:30:50
http://reply.papertrans.cn/87/8613/861292/861292_34.png外表读作 发表于 2025-3-27 16:12:46
Gerd Balzer,Claus Neumannowever, previous image harmonization methods overlook the fact that in a real image, the appearance (e.g., illumination, color temperature, saturation, hue, and texture) of different regions can vary significantly depending on content and position. For each foreground region, the background regions机密 发表于 2025-3-27 20:59:58
Gerd Balzer,Claus Neumanne changes while flying lead to the scale of the object changes dramatically. In addition, drones flying quickly cause motion blur on the densely tiny objects. In order to address the two issues mention above, we propose Tiny-YOLOv7. In order to detect multi-scale objects, we replace the original preEntropion 发表于 2025-3-28 00:32:41
http://reply.papertrans.cn/87/8613/861292/861292_37.pngEpithelium 发表于 2025-3-28 06:05:35
http://reply.papertrans.cn/87/8613/861292/861292_38.pngpessimism 发表于 2025-3-28 08:58:18
http://reply.papertrans.cn/87/8613/861292/861292_39.pngdebble 发表于 2025-3-28 13:54:40
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