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08/23/2023
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
The visual models pretrained on large-scale benchmarks encode general kn...
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05/26/2023
CONA: A novel CONtext-Aware instruction paradigm for communication using large language model
We introduce CONA, a novel context-aware instruction paradigm for effect...
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08/12/2022
Motion Sensitive Contrastive Learning for Self-supervised Video Representation
Contrastive learning has shown great potential in video representation l...
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04/02/2021
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
Urban areas consume over two-thirds of the world's energy and account fo...
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10/14/2019
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
To better address challenging issues of the irregularity and inhomogenei...
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08/06/2019
Random Directional Attack for Fooling Deep Neural Networks
Deep neural networks (DNNs) have been widely used in many fields such as...
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02/21/2018