Kinetics (human action dataset)
Kinetics is a large-scale dataset designed for action recognition, consisting of thousands of video clips categorized into various human actions.
computer vision
ImageNet
ImageNet is a large visual database designed for use in visual object recognition software research, playing a significant role in advancing machine learning.
Florence (computer vision model)
Florence is a computer vision model developed for advanced image recognition and analysis, leveraging deep learning techniques.
Alex Krizhevsky
Alex Krizhevsky is a notable figure in the field of artificial intelligence, particularly known for his contributions to deep learning and computer vision.
UCF101 (action recognition dataset)
UCF101 is a widely used dataset for action recognition in videos, containing 13,320 clips across 101 action categories.
Caffe
Caffe is a deep learning framework developed for machine learning and computer vision tasks. It is known for its speed, modularity, and expressive architecture, widely used in academic research and industry applications.
LAION
LAION is a German non-profit organization known for creating and distributing large-scale open datasets used in artificial intelligence research, particularly in the field of machine learning and computer vision.
Neural radiance flow (NeRF)
Neural radiance flow (NeRF) is a computer vision technique that models dynamic 3D scenes by combining neural radiance fields with scene flow estimation, enabling realistic rendering of complex motions and deformations from sparse input views.
One-2-3-45 (3D reconstruction)
One-2-3-45 is a method used in 3D reconstruction technology aimed at improving the accuracy and efficiency of creating three-dimensional models from two-dimensional images. It is notable for its structured approach in processing image data to reconstruct depth and spatial information.
Pascal VOC
Pascal VOC is a benchmark in the field of computer vision, primarily used for object detection and segmentation tasks in images.