Search Results for author:
Found 3 papers, 1 papers with code
Efficient Parameter Mining and Freezing for Continual Object Detection
Continual Object Detection is essential for enabling intelligent agents to interact proactively with humans in real-world settings.
Continual Object Detection: A review of definitions, strategies, and challenges
The field of Continual Learning investigates the ability to learn consecutive tasks without losing performance on those previously learned.
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition
The experimental results in a real-world surveillance and attendance datasets showed that general super-resolution architectures might enhance face verification performance of deep neural networks trained on high-resolution faces.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
