Chao Tao | DeepAI

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Featured Co-authors

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333 publications
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200 publications
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Wenbo Li
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∙ 11/15/2022

Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works

Deep learning has achieved great success in learning features from massi...

0 Chao Tao, et al. ∙

∙ 11/15/2022

False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image

The existing SSCL of RSI is built based on constructing positive and neg...

0 Zhaoyang Zhang, et al. ∙

∙ 04/10/2022

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning

Do we on the right way for remote sensing image understanding (RSIU) by ...

0 Chao Tao, et al. ∙

∙ 11/21/2021

Learning by Active Forgetting for Neural Networks

Remembering and forgetting mechanisms are two sides of the same coin in ...

7 Jian Peng, et al. ∙

∙ 06/20/2021

Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method

A new learning paradigm, self-supervised learning (SSL), can be used to ...

9 Haifeng Li, et al. ∙

∙ 06/19/2021

Variance-Dependent Best Arm Identification

We study the problem of identifying the best arm in a stochastic multi-a...

0 Pinyan Lu, et al. ∙

∙ 11/26/2020

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

When considering the spatial and temporal features of traffic, capturing...

0 Jiawei Zhu, et al. ∙

∙ 11/22/2020

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting

Traffic forecasting is a fundamental and challenging task in the field o...

3 Jiawei Zhu, et al. ∙

∙ 10/02/2020

Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples

With the development of deep learning, supervised learning methods perfo...

13 Chao Tao, et al. ∙

∙ 09/28/2020

RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

Training a modern deep neural network on massive labeled samples is the ...

4 Haifeng Li, et al. ∙

∙ 09/26/2020

Near-Optimal MNL Bandits Under Risk Criteria

We study MNL bandits, which is a variant of the traditional multi-armed ...

0 Guangyu Xi, et al. ∙

∙ 12/19/2019

SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

High-resolution remote sensing images (HRRSIs) contain substantial groun...

0 Haifeng Li, et al. ∙

∙ 05/27/2019

Thresholding Bandit with Optimal Aggregate Regret

We consider the thresholding bandit problem, whose goal is to find arms ...

5 Chao Tao, et al. ∙

∙ 04/05/2019

Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits

Best arm identification (or, pure exploration) in multi-armed bandits is...

0 Chao Tao, et al. ∙

∙ 08/04/2017

On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition

Human vision possesses strong invariance in image recognition. The cogni...

0 Jie Chen, et al. ∙

∙ 05/30/2017

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

Remote sensing image classification is a fundamental task in remote sens...

0 Haifeng Li, et al. ∙

∙ 05/19/2017

What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?

Recently, deep convolutional neural network (DCNN) achieved increasingly...

0 Haifeng Li, et al. ∙