3 papers
cs.CV2024
Efficient Parameter Mining and Freezing for Continual Object Detection
Angelo G. Menezes, Augusto J. Peterlevitz, Mateus A. Chinelatto +1
Continual Object Detection is essential for enabling intelligent agents to interact proactively with humans in real-world settings. While parameter-isolation strategies have been e…
cs.LG2023
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation
Moisés Santos, André de Carvalho, Carlos Soares
Time series forecasting is a subject of significant scientific and industrial importance. Despite the widespread utilization of forecasting methods, there is a dearth of research a…
cs.CV2022
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes, Gustavo de Moura, Cézanne Alves +1
The field of Continual Learning investigates the ability to learn consecutive tasks without losing performance on those previously learned. Its focus has been mainly on incremental…