Search Results for author:
Found 8 papers, 3 papers with code
DePF: A Novel Fusion Approach based on Decomposition Pooling for Infrared and Visible Images
Infrared and visible image fusion aims to generate synthetic images simultaneously containing salient features and rich texture details, which can be used to boost downstream tasks.
LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion
Specifically, a local edge enhancement (LE2) module is proposed to improve the edge information under complex illumination conditions and preserve the essential features of image.
LabelPrompt: Effective Prompt-based Learning for Relation Classification
Specifically, associating natural language words that fill the masked token with semantic relation labels (\textit{e. g.} \textit{``org:founded\_by}'') is difficult.
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition
To deal with this issue, we advocate a novel lexical enhancement method, InterFormer, that effectively reduces the amount of computational and memory costs by constructing non-flat lattices.
Ranked #9 on
Chinese Named Entity Recognition
on Resume NER
Chinese Named Entity Recognition
named-entity-recognition
+2
Face recognition via compact second order image gradient orientations
The second order image gradient orientations (SOIGO) can mitigate the adverse effect of noises in face images.
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
This paper presents a novel Multi-metadata Embedding based Cross-Transformer (MECT) to improve the performance of Chinese NER by fusing the structural information of Chinese characters.
DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification
This paper presents a Depthwise Disout Convolutional Neural Network (DD-CNN) for the detection and classification of urban acoustic scenes.
Dictionary Integration using 3D Morphable Face Models for Pose-invariant Collaborative-representation-based Classification
The paper presents a dictionary integration algorithm using 3D morphable face models (3DMM) for pose-invariant collaborative-representation-based face classification.
