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RAWPED is a dataset for detection of pedestrians in the context of railways. The dataset is labeled box-wise. 26000 Images Object recognition and classification 2020 [90] [91] Tugce Toprak, Burak Belenlioglu, Burak Aydın, Cuneyt Guzelis, M. Alper Selver OSDaR23 OSDaR23 is a multi-sensory dataset for detection of objects in the context of railways.
The winning model of the Deepfake Detection Challenge was 65% accurate on the holdout set of 4,000 videos. [174] A team at Massachusetts Institute of Technology published a paper in December 2021 demonstrating that ordinary humans are 69–72% accurate at identifying a random sample of 50 of these videos.
Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...
Created by Youtuber EZRyderX47 the video is a great deepfake example that shows the creative possibilities of the technology. As Marty, Holland is a surprisingly good stand-in for Michael J. Fox ...
Seven content-licensing sellers of music, image, video and other datasets for use in training artificial intelligence systems have formed the sector's first trade group, they said on Wednesday.
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Video manipulation is a type of media manipulation that targets digital video using video processing and video editing techniques. The applications of these methods range from educational videos [ 1 ] to videos aimed at ( mass ) manipulation and propaganda , a straightforward extension of the long-standing possibilities of photo manipulation .
Other examples include the visual transformer, [34] CoAtNet, [35] CvT, [36] the data-efficient ViT (DeiT), [37] etc. In the Transformer in Transformer architecture, each layer applies a vision Transformer layer on each image patch embedding, add back the resulting tokens to the embedding, then applies another vision Transformer layer.