Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Á߱⠿°»öü °´Ã¼ °ËÃâÀ» À§ÇÑ Faster R-CNN ¸ðµ¨ÀÇ ÃÖÀûȱ⠼º´É ºñ±³ |
¿µ¹®Á¦¸ñ(English Title) |
Performance Comparison of the Optimizers in a Faster R-CNN Model for Object Detection of Metaphase Chromosomes |
ÀúÀÚ(Author) |
Á¤¿ø¼®
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Wonseok Jung
Byeong-Soo Lee
Jeongwook Seo
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 11 PP. 1357 ~ 1363 (2019. 11) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®Àº »ç¶÷ÀÇ Á߱⠿°»öü·Î ÀÌ·ç¾îÁø µðÁöÅÐ À̹ÌÁö¿¡¼ Faster Region-based Convolutional Neural Network(R-CNN) ¸ðµ¨·Î ¿°»öü °´Ã¼¸¦ °ËÃâÇÒ ¶§ ÇÊ¿äÇÑ °æ»ç ÇÏ° ÃÖÀûȱâÀÇ ¼º´ÉÀ» ºñ±³ÇÑ´Ù. Faster R-CNNÀÇ °æ»ç ÇÏ° ÃÖÀûȱâ´Â Region Proposal Network(RPN) ¸ðµâ°ú ºÐ·ù Á¡¼ö ¹× ¹Ù¿îµù ¹Ú½º ¿¹Ãø ºí·ÏÀÇ ¸ñÀû ÇÔ¼ö¸¦ ÃÖ¼ÒÈÇϱâ À§ÇØ »ç¿ëµÈ´Ù. ½ÇÇè¿¡¼´Â ÀÌ·¯ÇÑ ³× °¡Áö °æ»ç ÇÏ° ÃÖÀûȱâÀÇ ¼º´ÉÀ» ºñ±³ÇÏ¿´À¸¸ç VGG16ÀÌ ±âº» ³×Æ®¿öÅ©ÀÎ Faster R-CNN ¸ðµ¨Àº Adamax ÃÖÀûȱⰡ ¾à 52%ÀÇ Mean Average Precision(mAP)¸¦ ´Þ¼ºÇÏ¿´°í ResNet50ÀÌ ±âº» ³×Æ®¿öÅ©ÀÎ Faster R-CNN ¸ðµ¨Àº Adadelta ÃÖÀûȱⰡ ¾à 58%ÀÇ mAP¸¦ ´Þ¼ºÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In this paper, we compares the performance of the gredient descent optimizers of the Faster Region-based Convolutional Neural Network (R-CNN) model for the chromosome object detection in digital images composed of human metaphase chromosomes. In faster R-CNN, the gradient descent optimizer is used to minimize the objective function of the region proposal network (RPN) module and the classification score and bounding box regression blocks. The gradient descent optimizer. Through performance comparisons among these four gradient descent optimizers in our experiments, we found that the Adamax optimizer could achieve the mean average precision (mAP) of about 52% when considering faster R-CNN with a base network, VGG16. In case of faster R-CNN with a base network, ResNet50, the Adadelta optimizer could achieve the mAP of about 58%.
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Å°¿öµå(Keyword) |
Faster R-CNN
°æ»ç ÇÏ°¹ý ÃÖÀûÈ
Á߱⿰»öü
VGG16
ResNet50
Faster R-CNN
Gradient descent optimizer
Metaphase chromosome
VGG16
ResNet50
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