End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning.
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Updated
Nov 3, 2018
End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning.
Official implementation of "Amplifying action-context greater: Image segmentation-guided intraoperative active bleeding detection" (MICCAI workshop 2022).
Combining handcrafted features with deep features for image matching
Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset
multi-teacher cross-modal knowledge distilaltion for unimodal brain tumor segmentation
An Unsupervised Framework for Rank Selection and Fusion
Features injected recurrent neural networks for short-term traffic speed prediction
Conditioning and feature fusion methods such as FiLM, Conditional Layer Norm and AdaIN.
Code of 'F-YOLO: Delving into Fuzzy YOLO for Improved Traffic Object Detection'
Compression and Reinforced Variation (CRV) Method
Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset
Tri-CNN: A Three Branch Model for Hyperspectral Image Classification
The t-SNE visualization and actual query results of the deep feature embeddings for the paper "Supervised Deep Feature Embedding with Hand Crafted Feature" that has been accepted by the IEEE Transactions on Image Processing.
Implementation of 'Attention-guided Feature Fusion for Small Object Detection'
A selection of RGB-T object tracking papers and their performance on various benchmarks.
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
Pytorch code for "CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention."
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
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