
Synthetic Social Agents (SSA) dataset
Synthetic Social Agents (SSA) is intended to be an oversimplification of real social behaviors, yet offers a challenging shift of attention from individual motion to social forces.
Synthetic Social Agents (SSA) is intended to be an oversimplification of real social behaviors, yet offers a challenging shift of attention from individual motion to social forces.
Neural network based on an end-to-end trainable working memory, which acts as an external storage where information about each agent can be continuously written, updated and recalled
Image Auto Tagging technology enables automatic assignment of relevant tags or keywords to vast collections of images and videos.
This open dataset contains multiple images of recyclable waste on a conveyor belt and it is produced as part of the EU funded project RECLAIM: GA-101070524.
The dataset contains 200 4K video sequences for each one of six deep-learning-based super-resolution methods. They correspond to the original 200 videos in BVI-DVC (https://fan-aaron-zhang.github.io/BVI-DVC/). The 1080p versions of these videos have been ...
This model detects upscaled 4k videos and identifies the upscaling model used.
This is a component which is able to detect shot boundaries, the sampling structure and dynamic keyframes in a videos at a speed of four times faster than real-time.
The repository contains the python code for the manifold mixing model soup algorithm as proposed in the paper at https://arxiv.org/abs/2309.08610.
The dataset enables the open evaluation of photographic profile rating and ranking algorithms that can provide users with privacy-related feedback.
Method that provides privacy-related feedback for photographic user profiles
Implementation of different class-incremental methods
FaVCI2D is a face verification dataset including demographically-diversified faces and challenging negative faces.