74 citations · 123 across the 4 of their papers we have counts for
4 papers · 1 filter
Multi-Level Correlation Network For Few-Shot Image Classification
Yunkai Dang, Min Zhang, Zhengyu Chen +4
Few-shot image classification(FSIC) aims to recognize novel classes given few labeled images from base classes. Recent works have achieved promising classification performance, esp…
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection
Ziqi Zhou, Zheng Wang, Huchuan Lu +2
The existing still-static deep learning based saliency researches do not consider the weighting and highlighting of extracted features from different layers, all features contribut…
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Meijun Sun, Ziqi Zhou, QinGhua Hu +2
Data-driven saliency detection has attracted strong interest as a result of applying convolutional neural networks to the detection of eye fixations. Although a number of imagebase…
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Faxian Cao, Zhijing Yang, Jinchang Ren +1
Although extreme learning machine (ELM) has been successfully applied to a number of pattern recognition problems, it fails to pro-vide sufficient good results in hyperspectral ima…