Search Results - "Qu, Haicheng"

Cross-Perception and Hierarchical Similarity Metric Network for Remote Sensing Image Change Detection by Qu, Haicheng, Zhang, Lijuan

“…Change detection (CD) is a fundamental operation in remote sensing image interpretation. This process employs a range of image processing and recognition…”
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Hierarchical MVSNet with cost volume separation and fusion based on U-shape feature extraction by Liu, Wanjun, Wang, Junkai, Qu, Haicheng, Shen, Lei

“…Multi-view stereo (MVS) methods based on deep learning have developed rapidly in recent years, but inaccuracies in reconstruction due to the general effect of…”
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Ships Detection in SAR Images Based on Anchor-Free Model With Mask Guidance Features by Qu, Haicheng, Shen, Lei, Guo, Wei, Wang, Junkai

“…Ship targets in synthetic aperture radar (SAR) images have various scales. The detection model based on anchor boxes requires manual design of candidate boxes,…”
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Image shadow removal algorithm guided by progressive attention mechanism by Qu, Haicheng, Tong, Chang, Liu, Wanjun

“…Current shadow removal algorithms generally require prior knowledge. When restoring dark areas or shadow areas with complex textures, there are problems of…”
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SW-Net: anchor-free ship detection based on spatial feature enhancement and weight-guided fusion by Qu, Haicheng, Li, Ruike, Shan, Yimeng, Wang, Meng

“…Synthetic aperture radar (SAR) images are widely used for maritime surveillance due to their all-weather imaging capability and day–night visibility. However,…”
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Research on Recommendation Algorithm of Joint Light Graph Convolution Network and DropEdge by Qu, Haicheng, Guo, Jiangtao, Jiang, Yanji

“…Overfitting in a deep neural network leads to low recommendation precision and high loss. To mitigate these issues in a deep neural network-based…”
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Multi-branch residual image semantic segmentation combined with inverse weight gated-control by Qu, Haicheng, Wang, Xiaona, Wang, Ying, Chen, Yao

“…The loss of pixel-level information in the multi-class segmentation task based on the U-net model results in unclear boundaries and low semantic segmentation…”
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Feedback-Enhanced Few-Shot Transformer Learning for Small-Sized Hyperspectral Image Classification by Liu, Lamei, Zuo, Dongyu, Wang, Ying, Qu, Haicheng

“…In hyperspectral image (HSI) classification, few-shot learning (FSL) methods achieve satisfactory performance with limited samples. However, the labeled and…”
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Image Semantic Segmentation Method with Fusion of Transposed Convolution and Deep Residual by LIU Lamei, WANG Xiaona, LIU Wanjun, QU Haicheng

“…Aiming at the problems of low segmentation accuracy and high loss of deep learning image semantic segmentation methods, image semantic segmentation method with…”
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DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection by Li, Haodong, Qu, Haicheng

“…The detection of small objects in aerial images is a fundamental task in the field of computer vision. Moving objects in aerial photography have problems such…”
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Parallel Acceleration of SAM Algorithm and Performance Analysis by Qu, Haicheng, Zhang, Junping, Lin, Zhouhan, Chen, Hao

“…Advances in sensor and computer technology are revolutionizing the way that remote sensing data with hundreds or even thousands of channels for the same area…”
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Parallel implementation for SAM algorithm based on GPU and distributed computing by Haicheng Qu, Junping Zhang, Yushi Chen, Hao Chen, Zhouhan Lin

“…Advances in sensor and computer technology are revolutionizing the way that remote sensing data with hundreds or even thousands of channels for the same area…”
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DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark by Li, Haodong, Qu, Haicheng, Zhang, Xiaofeng

“…With the rapid development of large vision language models (LVLMs), these models have shown excellent results in various multimodal tasks. Since LVLMs are…”
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Enhancing Vehicle Detection in Aerial Images Through Improved YOLOv8 by Haicheng, Qu, Meng, Wang, Rui, Chai

“…Introducing a drone image vehicle detection method, it is specifically devised to counter challenges posed by intricate backgrounds, multispectral variances,…”
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Object Tracking with Restrain Learning Anomaly and Adaptive Feature Fusion by Liu, Wanjun, Liang, Linlin, Qu, Haicheng

“…The object tracking algorithm is prone to tracking drift in complex scenes, which lead to abnormal learning of the algorithm. Aiming at this problem, Adaptive…”
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Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning by Shan, Yimeng, Zhang, Malu, Zhu, Rui-jie, Qiu, Xuerui, Eshraghian, Jason K, Qu, Haicheng

“…Recent advancements in neuroscience research have propelled the development of Spiking Neural Networks (SNNs), which not only have the potential to further…”
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SynA-ResNet: Spike-driven ResNet Achieved through OR Residual Connection by Shan, Yimeng, Qiu, Xuerui, Zhu, Rui-jie, Eshraghian, Jason K, Zhang, Malu, Qu, Haicheng

“…Spiking Neural Networks (SNNs) have garnered substantial attention in brain-like computing for their biological fidelity and the capacity to execute…”
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Joint Detection of Airplane Targets Based on Sar Images and Optical Images by Qin, Jitao, Qu, Haicheng, Chen, Hao, Chen, Wen

“…In airplane target detection, there was the drawback of weak recognition ability for dark targets and high false alarm rate for detected targets. In order to…”
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Robust Visual Tracking Based on Complementary Diverse Information by Xing, Yuzhe, Guo, Wei, Liu, Wanjun, Qu, Haicheng

“…Correlation Filters have become the dominant tracking approaches with the state-of-art performance in challenging videos. However, many of them concentrate on…”
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Runtime Estimation Model Based Graph Partitioning for Parallel Custom Instruction Selection by Xiao, Chenglong, Wang, Shanshan, Liu, Wanjun, Qu, Haicheng, Wang, Xinlin

“…Custom instruction selection is one of the most com- putationally difficult problems involved in the custom instruction identification for application-specific…”
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