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ÎÒ×öµÄÉî¶ÈѧϰĿ±ê¼ì²â·½ÃæµÄÑо¿£¬ÈýλÉó¸åÈ˶¼ËµÎÒµÄÎÄÕ»¹±È½Ï´´Ð£¬È»ºóµÚÒ»´Î¸øÁË"major revision"£¬µ«ÊÇÆäÖÐÒ»¸öÉó¸åÈ˾õµÃÎҵĶԱÈʵÑé¶Ô±ÈµÄËã·¨Óеã¾É£¬¸øÁËÎÒÎÒ¼¸ÆªÂÛÎÄÈÃÎÒ¸úÕâ¸ö±È£¬ÏÂÃæÊÇÉó¸åÒâ¼û¡£ 4 The manuscript lacks comparison with some of the latest works. The author is recommended to study the latest papers in the field of object detection and select some of the most advanced models for comparison. Some of inspiring works in this field is listed below. I hope the author can learn something from the recent progress in object detection and add comparative experiments. Lee S J, Lee S, Cho S I, et al. Object Detection-Based Video Retargeting With Spatial-Temporal Consistency[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(12): 4434-4439. Pan Y, Pi D, Chen J, et al. FDPPGAN: remote sensing image fusion based on deep perceptual patchGAN[J]. Neural Computing and Applications, 2021: 1-17. Belhassen H, Zhang H, Fresse V, et al. Improving Video Object Detection by Seq-Bbox Matching[C]//VISIGRAPP (5: VISAPP). 2019: 226-233. Carion N, Massa F, Synnaeve G, et al. End-to-end object detection with transformers[C]//European Conference on Computer Vision. Springer, Cham, 2020: 213-229. Padilla R, Netto S L, da Silva E A B. A survey on performance metrics for object-detection algorithms[C]//2020 International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 2020: 237-242. µ«ÊÇÕ⼸ƪÎÄÕÂÀïÖ»ÓеÚËĸöÓпªÔ´´úÂë¡£¡£Èç¹ûÈÃÎÒ¶Ìʱ¼ä¸´ÏÖÕâô¶à²»Ì«ÏÖʵ£¬ÇóÖú´ó¼ÒÕâÖÖÇé¿öÓ¦¸ÃÔõô°ì ![]() ![]() |
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5Â¥2021-05-22 12:40:10
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