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- 249
- Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection137
A novel pseudo-label generation and self-training framework based on Text Prompt with Normality Guidance (TPWNG) for WSVAD is proposed and achieves state-of-the-art performance on two benchmark datasets, UCF-Crime and XD-Violence.
- 120
- AFFPN: Attention Fusion Feature Pyramid Network for Small Infrared Target Detection104
The proposed attention fusion feature pyramid network (AFFPN) was deployed on an NVIDIA Jetson AGX Xavier development board and achieved real-time target detection, further advancing practical research and applications in the field of unmanned aerial vehicle infrared search and tracking.
- 95
- NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results85
This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.
- 57
- 3D scene reconstruction based on improved ICP algorithm35
An improved approach to 3D scene reconstruction based on fast point feature histograms (FPFH) and iterative closest point (ICP) method was proposed, which can quickly and effectively create complex color point cloud models of recorded scenes or objects, and has high practical value.
- IRSDD-YOLOv5: Focusing on the Infrared Detection of Small Drones32
This work designed an infrared small target detection module (IRSTDM) suitable for the infrared recognition of small drones, which extracted and retained the target details to allow IRSDD-YOLOv5 to effectively detect small targets.
- PV-RCNN++: semantical point-voxel feature interaction for 3D object detection31
A novel object detection network by semantical point-voxel feature interaction, dubbed PV-RCNN++ is proposed, achieving comparable or even better performance to the state-of-the-arts.
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- Add-Vit: CNN-Transformer Hybrid Architecture for Small Data Paradigm Processing21
A novel architecture for small data paradigms without pre-training is proposed, named Add-Vit, which uses progressive tokenization with feature supplementation in patch embedding and the model’s representational ability is enhanced by using a convolutional prediction module shortcut to connect MSA and capture local features as additional representations of the token.
- Application Development of Dance Pose Recognition Based on Embedded Artificial Intelligence Equipment18
This paper presents an application of artificial intelligence in basic hand position recognition of Chinese classical dance using TensorFlow deep learning framework, and combination of traditional culture and artificial intelligence technology.
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- Harris Scale Invariant Corner Detection Algorithm Based on the Significant Region17
An optimized Harris corner detection algorithm with significant region detection method used to extract the target area, and take closing operation for the result figure, can effectively achieve target and background segmentation.
- A Survey on Digital Image Copy-Move Forgery Localization Using Passive Techniques14
An overview of the traditional and the recent copy-move forgery localization methods using passive techniques is presented, classified into three types: block-based methods, keypoint-based methods, and deep learning-based methods.
- Detection of Wildfires along Transmission Lines Using Deep Time and Space Features10
A novel method based on deep time and space features along transmission line is proposed in this paper, which uses ViBe algorithm to detect movements in videos, and extracts static deep feature in the space domain and dynamic optical flowfeature in the time domain respectively.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-16. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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