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Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation.

, , , , and . Neural Process. Lett., 53 (6): 4489-4506 (2021)

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Extract Chinese Unknown Words from a Large-scale Corpus Using Morphological and Distributional Evidences., , , and . IJCNLP, page 837-845. The Association for Computer Linguistics, (2011)A Local Generative Model for Chinese Word Segmentation., , and . AIRS, volume 6458 of Lecture Notes in Computer Science, page 420-431. Springer, (2010)Word Segmentation on Chinese Mirco-Blog Data with a Linear-Time Incremental Model., , and . CIPS-SIGHAN, page 41-46. Association for Computational Linguistics, (2012)Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation., , , , and . Neural Process. Lett., 53 (6): 4489-4506 (2021)Binary Tree based Chinese Word Segmentation, , and . CoRR, (2013)Multi-object Tracking Method Based on Efficient Channel Attention and Switchable Atrous Convolution., , , , and . Neural Process. Lett., 53 (4): 2747-2763 (2021)Improving Chinese Word Segmentation Using Partially Annotated Sentences., , and . CCL, volume 8202 of Lecture Notes in Computer Science, page 1-12. Springer, (2013)Reduce Meaningless Words for Joint Chinese Word Segmentation and Part-of-speech Tagging, and . CoRR, (2013)Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing., , and . EACL, page 164-173. The Association for Computer Linguistics, (2014)A comparison study of candidate generation for Chinese word segmentation., and . NLPKE, page 60-67. IEEE, (2011)