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06/28/2023
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation
Self-supervised contrastive learning (SSCL) has achieved significant mil...
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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...
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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...
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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 ...
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11/21/2021
Learning by Active Forgetting for Neural Networks
Remembering and forgetting mechanisms are two sides of the same coin in ...
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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 ...
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06/19/2021
Variance-Dependent Best Arm Identification
We study the problem of identifying the best arm in a stochastic multi-a...
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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...
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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...
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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...
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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 ...
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09/26/2020
Near-Optimal MNL Bandits Under Risk Criteria
We study MNL bandits, which is a variant of the traditional multi-armed ...
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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...
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05/27/2019
Thresholding Bandit with Optimal Aggregate Regret
We consider the thresholding bandit problem, whose goal is to find arms ...
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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...
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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...
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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...
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05/19/2017