Suchergebnisse - "dense nested interactive module"

Dense Nested Attention Network for Infrared Small Target Detection.

Autoren: Li, Boyang Xiao, Chao Wang, Longguang et al.

Quelle: IEEE Transactions on Image Processing. 2023, Vol. 32, p1745-1758. 14p.

Schlagwörter: *OBJECT recognition (Computer vision), *FEATURE extraction, *DEEP learning, *ANNOTATIONS, *PROBABILITY theory

Dense Nested Attention Network for Infrared Small Target Detection

Autoren: Li, Boyang Xiao, Chao Wang, Longguang et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2106.00487

Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network.

Autoren: Du, Xinyue Cheng, Ke Zhang, Jin et al.

Quelle: Sensors (14248220); Feb2025, Vol. 25 Issue 3, p814, 16p

Schlagwörter: DETECTION algorithms, FEATURE extraction, FALSE alarms, PYRAMIDS, DEEP learning, DETECTORS

CSI-Net: CNN Swin Transformer Integrated Network for Infrared Small Target Detection.

Autoren: Choi, Lammi Chung, Won Young Park, Chan Gook

Quelle: International Journal of Control, Automation & Systems; Sep2024, Vol. 22 Issue 9, p2899-2908, 10p

FCNet: Flexible Convolution Network for Infrared Small Ship Detection.

Autoren: Guo, Feng Ma, Hongbing Li, Liangliang et al.

Quelle: Remote Sensing; Jun2024, Vol. 16 Issue 12, p2218, 21p

Schlagwörter: MARITIME shipping, SHIPS, SOVEREIGNTY, FALSE alarms, PIXELS

Multi-Channel Based on Attention Network for Infrared Small Target Detection.

Alternate Title: 基于注意力的多通道网络红外弱小目标检测. (Chinese)

Autoren: Zhang, Yanjun Wang, Biyun Cai, Yunze

Quelle: Journal of Shanghai Jiaotong University (Science); Jun2024, Vol. 29 Issue 3, p414-427, 14p

Night-Time Vessel Detection Based on Enhanced Dense Nested Attention Network.

Autoren: Zuo, Gao Zhou, Ji Meng, Yizhen et al.

Quelle: Remote Sensing; Mar2024, Vol. 16 Issue 6, p1038, 17p

Schlagwörter: AUTOMATIC identification, FEATURE extraction, MARITIME management, REMOTE sensing, ENVIRONMENTAL protection, DEEP learning

Multi-Level Hazard Detection Using a UAV-Mounted Multi-Sensor for Levee Inspection.

Autoren: Su, Shan Yan, Li Xie, Hong et al.

Quelle: Drones (2504-446X); Mar2024, Vol. 8 Issue 3, p90, 23p

Categorisation of mango orchard age groups using Object-Based Image Analysis.

Autoren: Stephen, Steena Haldar, Dipanwita

Quelle: Arabian Journal of Geosciences; Feb2024, Vol. 17 Issue 2, p1-18, 18p

Schlagwörter: AGE groups, IMAGE analysis, CASH crops, ORCHARDS, MANGO

Geografische Kategorien: INDIA

Research on infrared dim and small target detection algorithm based on local contrast and gradient.

Autoren: Lin, Weihong Zhang, Leihong Shen, Zimin et al.

Quelle: Journal of Spatial Science; Dec2023, Vol. 68 Issue 4, p741-758, 18p

Schlagwörter: INFRARED technology, ALGORITHMS, MEDICAL technology

SDDNet: Infrared small and dim target detection network.

Autoren: Long, Ma Cong, Shu Shanshan, Huang et al.

Quelle: CAAI Transactions on Intelligence Technology; Dec2023, Vol. 8 Issue 4, p1226-1236, 11p

Schlagwörter: DEEP learning, GRAPHICS processing units, INFRARED imaging, OBJECT recognition (Computer vision)

An infrared small target detection model via Gather-Excite attention and normalized Wasserstein distance.

Autoren: Sun, Kangjian Huo, Ju Liu, Qi et al.

Quelle: Electronic Research Archive; 2023, Vol. 31 Issue 11, p1-25, 25p

Schlagwörter: INFRARED detectors, DRONE aircraft, ARTIFICIAL neural networks, DEEP learning, DATA augmentation

An infrared small target detection model via Gather-Excite attention and normalized Wasserstein distance.

Autoren: Kangjian Sun Ju Huo Qi Liu et al.

Quelle: Mathematical Biosciences & Engineering; 2023, Vol. 20 Issue 11, p19040-19064, 25p

Residual Depth Feature-Extraction Network for Infrared Small-Target Detection.

Autoren: Wang, Lizhe Zhang, Yanmei Xu, Yanbing et al.

Quelle: Electronics (2079-9292); Jun2023, Vol. 12 Issue 12, p2568, 20p

Schlagwörter: FEATURE extraction, INFRARED imaging, SIGNAL-to-noise ratio

Edge-YOLO: Lightweight Infrared Object Detection Method Deployed on Edge Devices.

Autoren: Li, Junqing Ye, Jiongyao

Quelle: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 7, p4402, 15p

Schlagwörter: OBJECT recognition (Computer vision), MATHEMATICAL convolutions

Enhanced coordinate attention network with centralized visual center for infrared small target detection.

Autoren: Li, Xingjian Wang, Weihua Chen, Gao et al.

Quelle: Proceedings of SPIE; 2/7/2024, Vol. 12800, p1280040-1280040, 1p

Signal and Information Processing, Networking and Computers : Proceedings of the 10th International Conference on Signal and Information Processing, Networking and Computers (ICSINC)

Autoren: Yue Wang Yuyang Liu Jiaqi Zou et al.

Resource Type: eBook.

Schlagworte: Signal processing, Big data, Telecommunication

Categories: TECHNOLOGY & ENGINEERING / Signals & Signal Processing, COMPUTERS / Database Administration & Management, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Telecommunications