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Found 5 papers, 2 papers with code
HCLD: A Hierarchical Framework for Zero-shot Cross-lingual Dialogue System
Recently, many task-oriented dialogue systems need to serve users in different languages.
LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling
The model consists of an additional layer of latent dialogue action.
I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection
Existing methods for arbitrary-shaped text detection in natural scenes face two critical issues, i. e., 1) fracture detections at the gaps in a text instance; and 2) inaccurate detections of arbitrary-shaped text instances with diverse background context.
Ranked #5 on
Scene Text Detection
on SCUT-CTW1500
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation
Multi-source neural machine translation aims to translate from parallel sources of information (e. g. languages, images, etc.)
TextFuseNet: Scene Text Detection with Richer Fused Features
More specifically, we propose to perceive texts from three levels of feature representations, i. e., character-, word- and global-level, and then introduce a novel text representation fusion technique to help achieve robust arbitrary text detection.
Ranked #1 on
Scene Text Detection
on ICDAR 2015
