3 accepted papers
Unsupervised domain adaptation (UDA) for semantic segmentation seeks to transfer models from a labeled source domain to an unlabeled target domain. While auxiliary self-supervised tasks such as contrastive learning have enhanced feature discriminability, masked modeling remains underexplored due to
In recent years, image caption methods based on the encoder-decoder framework have made promising achievements, but most of them lack the exploitation of global information. In general, visual global information can provide more fine-grain details for recognizing small objects. On the other hand, th…
Internal relationship of image objects has contributed significantly to the development of image captioning, especially when combined with Transformer architecture. Most of these methods only calculate the relationship between entities and ignore the information between entities and background. Besi…