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Found 5 papers, 3 papers with code
A Two-Stage Dual-Path Framework for Text Tampering Detection and Recognition
Our Ps tamper detection method includes three steps: feature assistance, audit point positioning, and tamper recognition.
Intelligent Parsing: An Automated Parsing Framework for Extracting Design Semantics from E-commerce Creatives
This framework comprises material recognition, preprocess, smartname, and label layers.
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution
Deep neural networks have faced many problems in hyperspectral image classification, including the ineffective utilization of spectral-spatial joint information and the problems of gradient vanishing and overfitting that arise with increasing depth.
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification
Referring to the idea of dynamic network, dynamic group convolution(DGC) is designed on 3d convolution kernel.
Hyperspectral Image Classification
Remote Sensing Image Classification
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks
Using 3D-CNN can simultaneously acquire features of spatial and spectral dimensions to facilitate classification of features, but hyperspectral image information spectral dimensional information redundancy.
Ranked #1 on
Hyperspectral Image Classification
on Botswana
