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Applied Science & Technology Full Text (H.W. Wilson)

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Adaptive multimodal prompt for human-object interaction with local feature enhanced transformer.

• Authors : Xue, Kejun; Gao, Yongbin; Fang, Zhijun

Subjects: TRANSFORMER models; COMPUTER vision; FEATURE extraction

• Source: Applied Intelligence; Dec2024, Vol. 54 Issue 23, p12492-12504, 13p

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Super-Resolution Learning Strategy Based on Expert Knowledge Supervision.

• Authors : Ren, Zhihan; He, Lijun; Zhu, Peipei

Subjects: COMPUTER vision; REMOTE sensing; LEARNING strategies

• Source: Remote Sensing; Aug2024, Vol. 16 Issue 16, p2888, 22p

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G-Net: Implementing an enhanced brain tumor segmentation framework using semantic segmentation design.

• Authors : D. S., Chandra Sekaran; Clement J., Christopher

Subjects: BRAIN tumors; COMPUTER vision; IMAGE segmentation

• Source: PLoS ONE; 8/6/2024, Vol. 19 Issue 8, p1-21, 21p

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RailTrack-DaViT: A Vision Transformer-Based Approach for Automated Railway Track Defect Detection.

• Authors : Phaphuangwittayakul, Aniwat; Harnpornchai, Napat; Ying, Fangli

Subjects: TRANSFORMER models; COMPUTER vision; TRANSPORTATION safety measures

• Source: Journal of Imaging; Aug2024, Vol. 10 Issue 8, p192, 27p

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A User-Centered Framework for Data Privacy Protection Using Large Language Models and Attention Mechanisms.

• Authors : Zhou, Shutian; Zhou, Zizhe; Wang, Chenxi

Subjects: LANGUAGE models; DATA privacy; COMPUTER vision

• Source: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 15, p6824, 25p

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A Review of Recent Hardware and Software Advances in GPU-Accelerated Edge-Computing Single-Board Computers (SBCs) for Computer Vision.

• Authors : Iqbal, Umair; Davies, Tim; Perez, Pascal

Subjects: COMPUTER vision; SINGLE-board computers; ARTIFICIAL intelligence

• Source: Sensors (14248220); Aug2024, Vol. 24 Issue 15, p4830, 34p

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Centralised visual processing center for remote sensing target detection.

• Authors : Lin, Yuting; Zhang, Jianxun; Huang, Jiaming

Subjects: REMOTE sensing; COMPUTER vision; TRANSFORMER modelsCHRISTIAN Dior SA

• Source: Scientific Reports; 7/24/2024, Vol. 14 Issue 1, p1-14, 14p

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CAUCHY NOISE REMOVAL USING HIGH-ORDER TOTAL VARIATION AND OVERLAPPING GROUP SPARSITY.

• Authors : C. T., Pham; T. T. T., Tran; T. C., Truong

Subjects: COMPUTER vision; IMAGE denoising; TELEVISION programs

• Source: Eurasian Journal of Mathematical & Computer Applications (EJMCA); 2024, Vol. 12 Issue 3, p117-134, 18p

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Video object segmentation via couple streams and feature memory.

• Authors : Liang, Yun; Xiao, Xinjie; Qiu, Shaojian

Subjects: ONLINE education; MEMORY; VIDEOS

• Source: IET Image Processing (Wiley-Blackwell); Jul2024, Vol. 18 Issue 9, p2257-2272, 16p

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