Incisor 发表于 2025-3-23 12:10:23
http://reply.papertrans.cn/88/8731/873081/873081_11.pngcapsule 发表于 2025-3-23 16:23:21
http://reply.papertrans.cn/88/8731/873081/873081_12.pngYag-Capsulotomy 发表于 2025-3-23 18:55:32
http://reply.papertrans.cn/88/8731/873081/873081_13.pngpellagra 发表于 2025-3-24 00:39:46
Tebello Mosoeuneural network. Image alignment is performed using feature matching with homography computed using GMS (grid-based motion statistics). Evaluation was performed using different fundus images selected from public datasets. From each fundus image we generated different treatment retina images - croppedSedative 发表于 2025-3-24 06:18:51
http://reply.papertrans.cn/88/8731/873081/873081_15.pngaerobic 发表于 2025-3-24 06:49:08
Salma Youssef,Mayar A. Shafaey,Mohammed A.-M. Salemour method on the Chinese license plates, and the unbalance of the license plate data set is shown in the provincial category and the special license plates. The Inception Score and the FID Score are used as metrics to validate our method. The experimental results show that the Inception Score of th生命 发表于 2025-3-24 14:34:09
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http://reply.papertrans.cn/88/8731/873081/873081_18.png夜晚 发表于 2025-3-24 19:15:31
David Lindgren,Victor Hertel,Asha Coutrierral Feedback in Conversational Recommendation (NFCR). We adopt a joint learning task framework for feature extraction and use inverse reinforcement learning to train the decision network, helping CRS make appropriate decisions at each turn. Finally, we utilize the fine-grained neutral feedback fromInferior 发表于 2025-3-24 23:25:17
Luke Colvinral Feedback in Conversational Recommendation (NFCR). We adopt a joint learning task framework for feature extraction and use inverse reinforcement learning to train the decision network, helping CRS make appropriate decisions at each turn. Finally, we utilize the fine-grained neutral feedback from