Search Results for author:
Found 6 papers, 3 papers with code
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network
However, the effectiveness of QV is impeded by the limited visual range of its hardware, resulting in suboptimal image quality for distant portions of the sewer network.
Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation
Grounded Multimodal Named Entity Recognition (GMNER) task aims to identify named entities, entity types and their corresponding visual regions.
Ranked #1 on
Segmented Multimodal Named Entity Recognition
on Twitter-SMNER
(using extra training data)
Grounded Multimodal Named Entity Recognition
named-entity-recognition
+7
LOGO: Video Text Spotting with Language Collaboration and Glyph Perception Model
In this paper, we propose a Language Collaboration and Glyph Perception Model, termed LOGO, an innovative framework designed to enhance the performance of conventional text spotters.
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
Grounded Multimodal Named Entity Recognition (GMNER) is a nascent multimodal task that aims to identify named entities, entity types and their corresponding visual regions.
Ranked #1 on
Grounded Multimodal Named Entity Recognition
on Twitter-GMNER
(using extra training data)
Grounded Multimodal Named Entity Recognition
Multi-modal Named Entity Recognition
+8
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge
However, these methods either neglect the necessity of providing the model with external knowledge, or encounter issues of high redundancy in the retrieved knowledge.
Ranked #1 on
Multi-modal Named Entity Recognition
on Twitter-2017
(using extra training data)
Multi-modal Named Entity Recognition
named-entity-recognition
+1
Experimental Investigation on the Friction-induced Vibration with Periodic Characteristics in a Running-in Process under Lubrication
The RMS evolvement of the FIV signal is in the same trend to the composite surface roughness and demonstrates that the friction pair goes through the running-in wear stage and the steady wear stage.
