Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Qihuang Zhong"'
Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation
Publikováno v:
Neural Computing and Applications. 35:3665-3676
Deep learning-based methods are widely used for the task of semantic segmentation in recent years. However, due to the difficulty and labor cost of collecting pixel-level annotations, it is hard to acquire sufficient training images for a certain ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d124a4514704d1ea2502c70c6094931
https://doi.org/10.1007/s00521-021-06064-w
https://doi.org/10.1007/s00521-021-06064-w
Publikováno v:
Neurocomputing. 407:343-353
Scene text detection is an important step of scene text recognition and has achieved significant progress. However, the requirement of large amounts of annotated training data, which is used for training text detection model, has become a great chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::072c74a59bdc351aa8b7e0785adc0dd2
https://doi.org/10.1016/j.neucom.2020.05.059
https://doi.org/10.1016/j.neucom.2020.05.059
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To better comprehend long complicated sentences and obtain accurate aspect-specific information, linguistic and commonsense knowledge are generally required in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dfcfecd80f3409931d45e03b9362e07
