10 papers with code • 0 benchmarks • 2 datasets
These leaderboards are used to track progress in Person Recognition
Person recognition aims at recognizing the same identity across time and space with complicated scenes and similar appearance.
Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions.
In this work, we aim to move beyond such limitations and propose a new framework to leverage context for person recognition.
With the aim of studying how current multimodal algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, we propose a fictitious automated recruitment testbed: FairCVtest.
The main idea of the facial motion cycle-consistency is that, given a face with expression, we can perform de-expression to a neutral face via the removal of facial motion and further perform re-expression to reconstruct back to the original face.
Given that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel gait recognition method, called RealGait.
To help in counteracting such issues, we contribute with a database of facial images that includes several manipulations.
This last task, the recognition of banknotes from different denominations, has been addressed by the use of computer vision models for image recognition.