扔掉掐死你
发表于 2025-3-30 09:40:56
Discriminative Semi-supervised Learning Based on Visual Concept-Like Featureslearning methods usually use unlabeled data to augment the training set or regularize the decision boundary of classifiers. The classification results rely on the precision on unlabeled data using supervised classifiers trained with limited labeled samples. When a small number of labeled samples are
壮丽的去
发表于 2025-3-30 12:41:23
http://reply.papertrans.cn/67/6636/663570/663570_52.png
chisel
发表于 2025-3-30 16:31:45
http://reply.papertrans.cn/67/6636/663570/663570_53.png
Antarctic
发表于 2025-3-30 22:45:18
http://reply.papertrans.cn/67/6636/663570/663570_54.png
Encumber
发表于 2025-3-31 04:39:39
Convolutional Gated Recurrent Units Fusion for Video Action Recognition-stream ConvNets can further boost the performance. Existing fusion methods focus on short snippets thus fails to learn global representations for videos. We introduce a Convolutional Gated Recurrent Units (ConvGRU) fusion method to model long-term dependency inside actions. This fusion method takes
肥料
发表于 2025-3-31 08:50:44
http://reply.papertrans.cn/67/6636/663570/663570_56.png
阴谋小团体
发表于 2025-3-31 13:07:37
http://reply.papertrans.cn/67/6636/663570/663570_57.png
urethritis
发表于 2025-3-31 16:27:56
http://reply.papertrans.cn/67/6636/663570/663570_58.png
WITH
发表于 2025-3-31 19:37:48
An Improved Random Walk Algorithm for Interactive Image Segmentationbased algorithms have been proved to be efficient. However, a large number of seeds (i.e., pixels with user-specified labels) must be given in advance to achieve a desirable segmentation for such algorithms, which makes user interaction inconvenient. To solve this problem, we improve the random walk
Ccu106
发表于 2025-3-31 23:33:17
http://reply.papertrans.cn/67/6636/663570/663570_60.png