Výsledky vyhledávání - DETR encoder–decoder transformer

AF-DETR: Transformer-Based Object Detection for Precise Atrial Fibrillation Beat Localization in ECG.

Autoři: Wang, Peng Song, Junxian Wu, Pang a další

Zdroj: Bioengineering (Basel). Oct2025, Vol. 12 Issue 10, p1104. 26p.

Témata: *ATRIAL fibrillation, *ELECTROCARDIOGRAPHY, *TRANSFORMER models, *DEEP learning, *OBJECT recognition (Computer vision)

KANs-DETR: Enhancing Detection Transformer with Kolmogorov–Arnold Networks for small object

Autoři: Jingyu Zhang Wentao Peng Anyan Xiao a další

Zdroj: High-Confidence Computing, Vol 6, Iss 1, Pp 100336- (2026)

Témata: Object detection, SE networks, DETR, Kolmogorov–Arnold networks, Swin transformer, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667295225000406; https://doaj.org/toc/2667-2952

Přístupová URL adresa: https://doaj.org/article/9c8c7e64c01b4a748533a68ce94fb18e

DETR with Multi-granularity Spatial Attention and Spatial Prior Supervision

Autoři: LIAO Junshuang, TAN Qinhong

Zdroj: Jisuanji kexue, Vol 51, Iss 6, Pp 239-246 (2024)

Témata: multi-granularity spatial attention, spatial prior supervision, object detection, vision transformer, encoder-decoder architecture, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-6-239.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/d91e8a32cbdf4ce4b03efb8dd58cc73b

MSHLB-DETR: Transformer-Based Multi-Scale Citrus Huanglongbing Detection in Orchards with Aggregation Enhancement.

Autoři: Liu, Zhongbin Wu, Dasheng Xu, Fengya a další

Zdroj: Horticulturae; Oct2025, Vol. 11 Issue 10, p1225, 23p

Témata: CITRUS greening disease, DETECTION algorithms, ORCHARDS, CITRUS, AGRICULTURE, COMPUTER vision, TRANSFORMER models

DETR-MCA：基于探地雷达图像的 隧道衬砌内部缺陷的智能检测算法. (Chinese)

Alternate Title: DETR-MCA: intelligent detection algorithm for tunnel lining defects based on GPR images. (English)

Autoři: 侯斐斐 张智轩 崔广炎 a další

Zdroj: Journal of Railway Science & Engineering; Apr2025, Vol. 22 Issue 4, p1840-1852, 13p

Témata: GROUND penetrating radar, OBJECT recognition (Computer vision), TUNNEL lining, DETECTION algorithms, TRANSFORMER models, DEEP learning

PlantHealthNet: Transformer-Enhanced Hybrid Models for Disease Diagnosis and Severity Estimation in Agriculture

Autoři: Abid Iqbal

Zdroj: IEEE Access, Vol 13, Pp 101160-101176 (2025)

Témata: Swin transformer, precision agriculture, deep learning, SAM2-UNet, Electrical engineering. Electronics. Nuclear engineering, plant disease classification, detection transformer (DETR), TK1-9971

Přístupová URL adresa: https://doaj.org/article/c1c6f1ebe85d4d1eafe807ebb5a47c2e

CATR: CNN augmented transformer for object detection in remote sensing imagery.

Autoři: Hadi, Sahibzada Jawad Ahmed, Irfan Iqbal, Abid a další

Zdroj: Scientific Reports; 11/27/2025, Vol. 15 Issue 1, p1-24, 24p

Témata: TRANSFORMER models, CONVOLUTIONAL neural networks, GEOGRAPHIC information systems, REMOTE sensing, OBJECT recognition (Computer vision), AERIAL photographs

Railway fastener defect detection using RFD-DETR: A lightweight real-time transformer-based approach.

Autoři: Zhou, Huixiang Liu, Yuhao Wang, Jian

Zdroj: PLoS ONE; 11/10/2025, Vol. 20 Issue 11, p1-25, 25p

Témata: DEEP learning, FEATURE extraction, REAL-time computing, COMPUTER performance, TRANSFORMER models

SH-DETR: Enhancing steel surface defect detection and classification with an improved transformer architecture.

Autoři: Wu, Shouluan Yang, Hui Liao, Liefa a další

Zdroj: PLoS ONE; 11/11/2025, Vol. 20 Issue 11, p1-31, 31p

Témata: COMPUTER vision, SURFACE defects, DETECTION algorithms, DEEP learning, CLASSIFICATION, TRANSFORMER models, FEATURE extraction

Object Detection with Transformers: A Review.

Autoři: Shehzadi, Tahira Hashmi, Khurram Azeem Liwicki, Marcus a další

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6025, 42p

Témata: COMPUTER vision, TRANSFORMER models, ARTIFICIAL intelligence, QUANTITATIVE research, OBJECT recognition (Computer vision)

A System for Real-Time Detection of Abandoned Luggage

Autoři: Ivan Vrsalovic Jonatan Lerga Marina Ivasic-Kos

Zdroj: Sensors, Vol 25, Iss 9, p 2872 (2025)

Témata: computer vision, deep learning, object detection, YOLOv8, YOLOv11, DETR encoder–decoder transformer, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/9/2872; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/3976e4e0e23c4df490450c7d63b716fe

FRT-DETR: faster real-time end-to-end detector for industrial surface defects based on transformer.

Autoři: Xiang, Shuang Fu, Chong Song, Wei a další

Zdroj: Journal of Real-Time Image Processing; Oct2025, Vol. 22 Issue 5, p1-15, 15p

A Review of DEtection TRansformer: From Basic Architecture to Advanced Developments and Visual Perception Applications.

Autoři: Yu, Liang Tang, Lin Mu, Lisha

Zdroj: Sensors (14248220); Jul2025, Vol. 25 Issue 13, p3952, 51p

Témata: OBJECT recognition (Computer vision), TRANSFORMER models, MACHINE learning, MEDICAL imaging systems, SCIENTIFIC method

Layer-Wise Query Selection to Eliminate Redundant Queries in DETR.

Autoři: Hong, Seok-Jin Choi, Chan-Young Lee, Sang-Woong

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 14, p7686, 14p

Témata: TRANSFORMER models, COMPUTATIONAL complexity, OPTIMIZATION algorithms, OBJECT recognition (Computer vision)

Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images

Autoři: Zou, Zhao Ning Zhang, Yuhang Wijaya, Robert

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2310.08772

Optimized Grasshopper Optimisation Algorithm enabled DETR (DEtection TRansformer) model for skin disease classification.

Autoři: Kundu, Shakti Sharma, Yogesh Kumar Nabilal, Khan Vajid a další

Zdroj: PLoS ONE; 5/29/2025, Vol. 20 Issue 5, p1-33, 33p

Témata: OPTIMIZATION algorithms, NOSOLOGY, TRANSFORMER models, SKIN diseases, IMAGE analysis

UAV-DETR: An Enhanced RT-DETR Architecture for Efficient Small Object Detection in UAV Imagery.

Autoři: Zhou, Yu Wei, Yan

Zdroj: Sensors (14248220); Aug2025, Vol. 25 Issue 15, p4582, 20p

Témata: OBJECT recognition (Computer vision), FEATURE extraction, TRANSFORMER models, DRONE aircraft

A novel method for intelligent operation and maintenance of transformers using deep visual large model DETR + X and digital twin.

Autoři: Zhang, Xuedong Sun, Wenlei Chen, Ke a další

Zdroj: Scientific Reports; 1/2/2025, Vol. 15 Issue 1, p1-22, 22p

Témata: ARTIFICIAL intelligence, TRANSFORMER models, DIGITAL twin, DATA augmentation, FEATURE extraction

Early-Stage Wildfire Detection: A Weakly Supervised Transformer-Based Approach.

Autoři: Samavat, Tina Yazdi, Amirhessam Yan, Feng a další

Zdroj: Fire (2571-6255); Nov2025, Vol. 8 Issue 11, p413, 25p

Témata: TRANSFORMER models, DEEP learning, FIRE risk assessment, SUPERVISED learning, OBJECT recognition (Computer vision), ATMOSPHERIC aerosol measurement

SF-DETR: A Scale-Frequency Detection Transformer for Drone-View Object Detection.

Autoři: Wang, Haotong Gao, Junwei

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 7, p2190, 21p

Témata: OBJECT recognition (Computer vision), TRANSFORMER models, AERIAL surveillance, DEEP learning, MINIATURE objects