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07/21/2023
Tuning Pre-trained Model via Moment Probing
Recently, efficient fine-tuning of large-scale pre-trained models has at...
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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...
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10/27/2021
Temporal-attentive Covariance Pooling Networks for Video Recognition
For video recognition task, a global representation summarizing the whol...
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08/03/2021
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
Weakly-supervised object detection (WSOD) has emerged as an inspiring re...
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05/06/2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
To promote the developments of object detection, tracking and counting a...
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04/22/2021
So-ViT: Mind Visual Tokens for Vision Transformer
Recently the vision transformer (ViT) architecture, where the backbone p...
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03/25/2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Recent works have demonstrated that global covariance pooling (GCP) has ...
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12/04/2019
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
This paper proposes a space-time multi-scale attention network (STANet) ...
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10/08/2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Channel attention has recently demonstrated to offer great potential in ...
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08/06/2019
Neural Blind Deconvolution Using Deep Priors
Blind deconvolution is a classical yet challenging low-level vision prob...
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06/02/2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
Collection of massive well-annotated samples is effective in improving o...
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04/15/2019
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Compared with global average pooling in existing deep convolutional neur...
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11/29/2018
Global Second-order Pooling Convolutional Networks
Deep Convolutional Networks (ConvNets) are fundamental to, besides large...
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11/29/2018
Global Second-order Pooling Neural Networks
Deep Convolutional Networks (ConvNets) are fundamental to, besides large...
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04/02/2018
Multi-scale Location-aware Kernel Representation for Object Detection
Although Faster R-CNN and its variants have shown promising performance ...
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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...
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03/23/2017
Is Second-order Information Helpful for Large-scale Visual Recognition?
By stacking layers of convolution and nonlinearity, convolutional networ...
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07/09/2015
