… to learn label semantics and label-specific features in a collaborative way. Accordingly, a …
We attempt to focus on the collaborative learning process for label semantics and label-specific …

… collaborative learning, this paper describes the design of a semantic forum with semantic link
… We then compared these manual labeling results with the labels assigned by the proposed …

… but also make the full use of the large quantity of pseudo labels, we propose a novel semi-supervised
learning approach for semantic segmentation, named conservative-progressive …

… the essential semantic information across source domains, we propose a collaborative learning
… A collaborative learning method based on both labeled source domains and unlabeled …

… collaborative learning formulation, we develop an efficient online algorithm that can jointly
learn the label … If the semantic relations among labels are ignored, we cannot transfer the …

… However, the key idea of image tag completion is to utilize the complex image visual features
to infer the semantic labels, which is quite different from the POI tag refinement scenarios. …

… Semantic segmentation is an important task for scene understanding in self-driving cars and
… to assign dense labels for all pixels in the image. Existing work typically improves semantic …

… , students have in a collaborative learning scenario and also … Therefore, we propose a
semantic system for cooperation … label with the preferred or default language attribute, a label …

… Since the dataset only has image-level grading labels, we mainly adopt it to train the lesion
… proposes to collaborate the semantic lesion mask guidance and the class-driven attention …

… network for intra-modal semantic modeling. Meanwhile, we develop a semantic collaborative
network to achieve multi-granularity semantic alignment and hierarchical semantic …