Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER. | 0 | 0.34 | 2022 |
PMAL: Open Set Recognition via Robust Prototype Mining. | 0 | 0.34 | 2022 |
Spin: Structure-Preserving Inner Offset Network For Scene Text Recognition | 0 | 0.34 | 2021 |
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition | 0 | 0.34 | 2021 |
VSR: A Unified Framework for Document Layout Analysis Combining Vision, Semantics and Relations | 0 | 0.34 | 2021 |
Towards Robust Model Reuse in the Presence of Latent Domains. | 0 | 0.34 | 2021 |
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment | 0 | 0.34 | 2021 |
Text Recognition in Real Scenarios with a Few Labeled Samples | 0 | 0.34 | 2020 |
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding | 0 | 0.34 | 2020 |
Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition. | 0 | 0.34 | 2019 |
REAPS: Towards Better Recognition of Fine-Grained Images by Region Attending and Part Sequencing. | 0 | 0.34 | 2019 |
Effectively identifying compound-protein interactions by learning from positive and unlabeled examples. | 1 | 0.35 | 2018 |
Selecting high-quality negative samples for effectively predicting protein-RNA interactions. | 2 | 0.39 | 2017 |
Computationally predicting protein-RNA interactions using only positive and unlabeled examples. | 9 | 0.55 | 2015 |
Exploiting topic modeling to boost metagenomic reads binning. | 6 | 0.54 | 2015 |