Continuous object recognition is the task of performing object recognition on a data stream and learning continuously, trying to mitigate issues such as catastrophic forgetting.
( Image credit: CORe50 dataset )
Both growing networks can expand in response to novel sensory experience: the episodic memory learns fine-grained spatiotemporal representations of object instances in an unsupervised fashion while the semantic memory uses task-relevant signals to regulate structural plasticity levels and develop more compact representations from episodic experience.
ACTIVE LEARNING CONTINUOUS OBJECT RECOGNITION INCREMENTAL LEARNING
Continuous/Lifelong learning of high-dimensional data streams is a challenging research problem.