ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of ... other crops and computer-vision problems, Leakey ...

Microsoft first unveiled Copilot Vision in December 2024 Earlier, it was only available to Copilot Pro subscribers Copilot Vision supports voice-based interaction ...

If you've ever wished you could build a smart image recognition model or automate visual tasks without touching Python or TensorFlow, your moment is now. In simple terms, no code computer vision tools ...

If you buy through a BGR link, we may earn an affiliate commission, helping support our expert product labs. OpenAI surprised us all with ChatGPT’s new image-generation features, which went ...

Vibe coders just bring the vision. The thing that vibe coding reminded ... Apple hopes that even people who don’t know computer code could tell the headset, via the Siri voice assistant, to ...

Abstract: Vision Transformers (ViTs) have shown promise in medical image semantic segmentation (MISS) by capturing longrange correlations. However, ViTs often struggle to model local spatial ...

conda create -n Lumina2 -y conda activate Lumina2 conda install python=3.11 pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=12.1 -c pytorch -c nvidia -y Both the Gradio demo and the ...