🏞 A content-based image retrieval (CBIR) system
#计算机科学#A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmen...
[ECCV 2020] XingGAN for Person Image Generation
翻译 - [ECCV 2020] XingGAN用于人像生成
[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 implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)
The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
#计算机科学#[Remote Sensing] PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"
Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset
#计算机科学#CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors
#人脸识别#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
Pytorch code for "CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention."
#计算机科学#Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
Implementation of 'Attention-guided Feature Fusion for Small Object Detection'
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
#计算机科学#A selection of RGB-T object tracking papers and their performance on various benchmarks.
Tri-CNN: A Three Branch Model for Hyperspectral Image Classification
Conditioning and feature fusion methods such as FiLM, Conditional Layer Norm and AdaIN.
#计算机科学# 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 Transact...