Continuous Object Recognition
2 papers with code ·
Computer Vision
Subtask of
Object Recognition
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 )
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Greatest papers with code
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Continuous/Lifelong learning of high-dimensional data streams is a challenging research problem.
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
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.