research
∙
04/09/2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Few-shot classification is a challenging problem as only very few traini...
share
research
∙
10/27/2021
Temporal-attentive Covariance Pooling Networks for Video Recognition
For video recognition task, a global representation summarizing the whol...
research
∙
04/22/2021
So-ViT: Mind Visual Tokens for Vision Transformer
Recently the vision transformer (ViT) architecture, where the backbone p...
research
∙
03/25/2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Recent works have demonstrated that global covariance pooling (GCP) has ...
research
∙
10/08/2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Channel attention has recently demonstrated to offer great potential in ...
research
∙
04/15/2019
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Compared with global average pooling in existing deep convolutional neur...
research
∙
11/29/2018
Global Second-order Pooling Convolutional Networks
Deep Convolutional Networks (ConvNets) are fundamental to, besides large...
research
∙
11/29/2018
Global Second-order Pooling Neural Networks
Deep Convolutional Networks (ConvNets) are fundamental to, besides large...
research
∙
04/02/2018
Multi-scale Location-aware Kernel Representation for Object Detection
Although Faster R-CNN and its variants have shown promising performance ...
research
∙
12/04/2017
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
Global covariance pooling in Convolutional neural neworks has achieved i...
research
∙
10/05/2017
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation
The aspect ratio variation frequently appears in visual tracking and has...
research
∙
03/23/2017
Is Second-order Information Helpful for Large-scale Visual Recognition?
By stacking layers of convolution and nonlinearity, convolutional networ...
research
∙
07/26/2016
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
One impressive advantage of convolutional neural networks (CNNs) is thei...
research
∙
07/09/2015
Towards Effective Codebookless Model for Image Classification
The bag-of-features (BoF) model for image classification has been thorou...
research
∙
11/14/2010