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Learning cross-domain semantic-visual relationships for transductive zero-shot learning.

, , , , , and . Pattern Recognit., (September 2023)

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Pairwise constraints-based semi-supervised fuzzy clustering with multi-manifold regularization., , , , and . Inf. Sci., (August 2023)Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning., , , , , and . CoRR, (2020)HR-ASPP: An improved semantic segmentation model of cervical nucleus images with accurate spatial localization and better shape feature extraction based on Deeplabv3+., , , , , and . ICDIP, page 16:1-16:8. ACM, (2023)Applications of Social Media in Hydroinformatics: A Survey., , , , , and . CoRR, (2019)Intelligent Water Level Prediction Model for small-and medium-sized rivers Based on Small Sample Data., , , and . IMCOM, page 1-7. IEEE, (2022)CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields., , , , , and . Biomed. Signal Process. Control., (2024)Learning cross-domain semantic-visual relationships for transductive zero-shot learning., , , , , and . Pattern Recognit., (September 2023)An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy., , , , , , , and . CoRR, (2023)Research on Chinese Hydrological Data Quality Management., , , and . WISM, volume 7529 of Lecture Notes in Computer Science, page 372-379. Springer, (2012)Key Techniques Research on Water Resources Scientific Data Sharing Platform., , and . WISM (2), volume 6988 of Lecture Notes in Computer Science, page 377-384. Springer, (2011)