Researchers have found that a two-dimensional carbon material is tougher than graphene and resists cracking—even the ...

A research group recently discovered the disappearance of nonreciprocal second harmonic generation (SHG) in MnPSe₃ when ...

Hugging Face is widely used in research and enterprise AI, supporting everything from text generation to image recognition, ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

The QoG Standard dataset is our largest dataset. It consists of approximately 2100 variables from more than 100 data sources related to Quality of Government. When using QoG Standard Data, make sure ...

In this blog, we will explore the top five deepfake detection tools and techniques available today. Reality Defender is a deepfake detection platform designed to combat AI-generated threats across ...

Traditional 2D based methods often fail to capture anomalies present in complex 3D shapes. For effective anomaly detection in 3D shapes, it is essential to incorporate global semantic context, local ...

YOLO is a popular one-stage object detection model known for its speed and accuracy. It processes images in real-time, making it suitable for applications requiring quick detection. EfficientDet is ...

Under the hood, the system uses Hunyuan3D-DiT, a diffusion transformer model that figures out the core shapes of objects and represents them in compressed form. Once it understands the basic structure ...

First, we constructed a multi-band SAR vehicle detection dataset (SVDD) with annotations as the training dataset of the object detection model. Then, we introduced dual conv into the RT-DETR model.

In Section 6, the generality and robustness of the LFN-YOLO model are evaluated using the TrashCan dataset. Finally, Section 7 concludes the paper. Table 1. Comprehensive qualitative comparison of ...