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pro vyhledávání: '"WANG Haipeng"'
The limitations of existing Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) methods lie in their confinement by the closed-environment assumption, hindering their effective and robust handling of unknown target categories in open en
Externí odkaz:
http://arxiv.org/abs/2411.04693
Current mainstream SAR image object detection methods still lack robustness when dealing with unknown objects in open environments. Open-set detection aims to enable detectors trained on a closed set to detect all known objects and identify unknown o
Externí odkaz:
http://arxiv.org/abs/2411.01597
Deep learning technologies have achieved significant performance improvements in the field of synthetic aperture radar (SAR) image target recognition over traditional methods. However, the inherent "black box" property of deep learning models leads t
Externí odkaz:
http://arxiv.org/abs/2410.09749
Publikováno v:
Information Fusion, 2024: 102540
In recent years, the denoising diffusion model has achieved remarkable success in image segmentation modeling. With its powerful nonlinear modeling capabilities and superior generalization performance, denoising diffusion models have gradually been a
Externí odkaz:
http://arxiv.org/abs/2408.02075
Sharpening deep learning models by training them with examples close to the decision boundary is a well-known best practice. Nonetheless, these models are still error-prone in producing predictions. In practice, the inference of the deep learning mod
Externí odkaz:
http://arxiv.org/abs/2407.14114
In the testing-retraining pipeline for enhancing the robustness property of deep learning (DL) models, many state-of-the-art robustness-oriented fuzzing techniques are metric-oriented. The pipeline generates adversarial examples as test cases via suc
Externí odkaz:
http://arxiv.org/abs/2407.12428
Publikováno v:
Leida xuebao, Vol 9, Iss 3, Pp 497-513 (2020)
Target detection and recognition are popular issues in the field of high-resolution Synthetic Aperture Radar (SAR). As a typical target, aircraft detection and identification has certain uniqueness. This paper reviews the development of detection an
Externí odkaz:
https://doaj.org/article/2f551e0c6cc446a29e0fde1578c0ad8e
Hyperspectral image (HSI) classification is pivotal in the remote sensing (RS) field, particularly with the advancement of deep learning techniques. Sequential models, adapted from the natural language processing (NLP) field such as Recurrent Neural
Externí odkaz:
http://arxiv.org/abs/2405.12003
Patch robustness certification is an emerging kind of defense technique against adversarial patch attacks with provable guarantees. There are two research lines: certified recovery and certified detection. They aim to label malicious samples with pro
Externí odkaz:
http://arxiv.org/abs/2405.07668
Autor:
Wang, Haipeng
Scanning real-life scenes with modern registration devices typically gives incomplete point cloud representations, primarily due to the limitations of partial scanning, 3D occlusions, and dynamic light conditions. Recent works on processing incomplet
Externí odkaz:
http://arxiv.org/abs/2404.08312