Explore how computer vision is transforming hospitality industry by enhancing customer experiences in hotels to improving security in casinos.
FCOS (Fully Convolutional One-Stage Object Detection) is an anchor-less object detection model that provides unique features.
This blog explores how AI and computer vision are transforming forestry management. From monitoring forest health with drones to detecting illegal logging with satellite imagery, discover the cutting-edge technologies helping to safeguard our forests for future generations.
This comprehensive guide walks you through the entire data science process, including data acquisition, preparation, exploration, and modeling.
Explore the concept of liquid neural networks, how they compare to traditional neural networks, and their applications.
The Xception model is a Computer vision model that utilizes depthwise separable convolution and is a successor of Inception architecture.
Neural Radiance Fields (NeRFs) are a deep learning technique that is revolutionizing the way we represent and interact with 3D scenes. Discover the core concepts behind NeRFs novel view synthesis, learn about cutting-edge variations, explore their applications and a code example.
GoogLeNet is an Image Classification model that is made by stacking Inception Modules. Released in 2014, it surpassed previous benchmarks.
Spatio-Temporal Action Recognition encompasses the complex task of understanding actions in videos, including what action is happening and when and where it occurs.
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