BYRE 发表于 2025-3-28 15:29:31
http://reply.papertrans.cn/17/1621/162074/162074_41.pngairborne 发表于 2025-3-28 21:16:19
http://reply.papertrans.cn/17/1621/162074/162074_42.png积习已深 发表于 2025-3-28 23:48:30
http://reply.papertrans.cn/17/1621/162074/162074_43.pngelectrolyte 发表于 2025-3-29 06:02:53
http://reply.papertrans.cn/17/1621/162074/162074_44.png大方一点 发表于 2025-3-29 08:35:57
Cross-domain Trajectory Prediction with CTP-Netl-trained model may not effectively generalize to a new scenario captured by another camera. Therefore, it is desirable to adapt the model trained on an annotated source domain to the target domain. To achieve domain adaptation for trajectory prediction, we propose a Cross-domain Trajectory Predicti碎石头 发表于 2025-3-29 12:14:55
http://reply.papertrans.cn/17/1621/162074/162074_46.pngCODA 发表于 2025-3-29 15:55:03
Lightweight Image Compression Based on Deep Learningers and float-point operations (FLOPs) of DLIC severely limit their application on mobile devices. To reduce the parameters and FLOPs while maintaining the superior compression gain, this paper proposes lightweight algorithms especially for the feature analysis, synthesis, and fusion modules in DLICkeloid 发表于 2025-3-29 22:02:51
http://reply.papertrans.cn/17/1621/162074/162074_48.png斜谷 发表于 2025-3-30 03:58:07
http://reply.papertrans.cn/17/1621/162074/162074_49.pngBACLE 发表于 2025-3-30 06:03:57
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