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Improving Single Positive Multi-label Classification via Knowledge-based Label-weighted Large Loss Rejection.

, , , , , and . SoICT, page 429-434. ACM, (2023)

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Improving semantic texton forests with a Markov random field for image segmentation., , , , and . SoICT, page 162-170. ACM, (2014)A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment., , , , , and . IEEE Access, (2022)AG-ResUNet++: An Improved Encoder-Decoder Based Method for Polyp Segmentation in Colonoscopy Images., , , and . RIVF, page 1-6. IEEE, (2021)EndoUNet: A Unified Model for Anatomical Site Classification, Lesion Categorization and Segmentation for Upper Gastrointestinal Endoscopy., , , , , , , and . KSE, page 1-6. IEEE, (2022)Colour image denoising based on a combined model., , and . SoICT, page 308-315. ACM, (2016)Improving CRNN with EfficientNet-like feature extractor and multi-head attention for text recognition., and . SoICT, page 285-290. ACM, (2019)A Denoising Method Based on Total Variation., , and . SoICT, page 223-230. ACM, (2015)LSegDiff: A Latent Diffusion Model for Medical Image Segmentation., , , and . SoICT, page 456-462. ACM, (2023)PolypDEQ: Towards Effective Transformer-Based Deep Equilibrium Models for Colon Polyp Segmentation., , and . ISVC (1), volume 13598 of Lecture Notes in Computer Science, page 456-467. Springer, (2022)Improve polyp semi-supervised segmentation with prioritizing the reliability of unlabeled images., , , , , and . ICSIE, page 35-40. ACM, (2022)