替代品 发表于 2025-3-30 08:23:05
http://reply.papertrans.cn/24/2342/234192/234192_51.png许可 发表于 2025-3-30 14:20:15
http://reply.papertrans.cn/24/2342/234192/234192_52.pngCarminative 发表于 2025-3-30 19:09:17
Transferring GANs: Generating Images from Limited Dataditioning. Our results also suggest that density is more important than diversity and a dataset with one or few densely sampled classes is a better source model than more diverse datasets such as ImageNet or Places.IRATE 发表于 2025-3-30 23:32:07
Proxy Clouds for Live RGB-D Stream Processing and Consolidationcessing of RGB-D data with . includes noise and temporal flickering removal, hole filling and resampling. As a substitute of the observed scene, our . can additionally be applied to compression and scene reconstruction. We present experiments performed with our framework in indoor scenes of differen搜寻 发表于 2025-3-31 01:55:38
http://reply.papertrans.cn/24/2342/234192/234192_55.png担忧 发表于 2025-3-31 07:19:21
http://reply.papertrans.cn/24/2342/234192/234192_56.pngectropion 发表于 2025-3-31 12:11:37
http://reply.papertrans.cn/24/2342/234192/234192_57.png胰岛素 发表于 2025-3-31 16:38:39
http://reply.papertrans.cn/24/2342/234192/234192_58.pngDistribution 发表于 2025-3-31 18:24:54
Key-Word-Aware Network for Referring Expression Image Segmentationic properties of visual and textual information, existing works usually deal with this task by directly feeding a foreground/background classifier with cascaded image and text features, which are extracted from each image region and the whole query, respectively. On the one hand, they ignore that eaSUGAR 发表于 2025-4-1 01:44:35
A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI The deep neural network models provide the stronger representation ability and faster reconstruction compared with “shallow” optimization-based methods. However, in the existing deep-based CS-MRI models, the high-level semantic supervision information from massive segmentation-labels in MRI dataset