25 papers with code • 2 benchmarks • 9 datasets
Person Search is a task which aims at matching a specific person among a great number of whole scene images.
Existing person re-identification benchmarks and methods mainly focus on matching cropped pedestrian images between queries and candidates.
In real-world applications, e. g. law enforcement and video retrieval, one often needs to search a certain person in long videos with just one portrait.
Person search by natural language aims at retrieving a specific person in a large-scale image pool that matches the given textual descriptions.
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
The results demonstrate that deep re-ID systems are vulnerable to our physical attacks.