There are 2 repositories under feature-fusion topic.
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset
Bimodal Adaptive Feature Fusion Network for Person Verification
Repository for my paper: Dimensional Speech Emotion Recognition Using Acoustic Features and Word Embeddings using Multitask Learning
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
Pytorch code for "CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention."
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
A selection of RGB-T object tracking papers and their performance on various benchmarks.
Implementation of 'Attention-guided Feature Fusion for Small Object Detection'
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.
Tri-CNN: A Three Branch Model for Hyperspectral Image Classification
Compression and Reinforced Variation (CRV) Method
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'
Official implementation of "Amplifying action-context greater: Image segmentation-guided intraoperative active bleeding detection" (MICCAI workshop 2022).
End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning.
Combining handcrafted features with deep features for image matching