computer-vision-11

Continuous Object Recognition

3260 papers • 126 benchmarks • 313 datasets

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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Most implemented papers

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Vincenzo Lomonaco, D. Maltoni•Mon May 08 2017

This work proposes a new dataset and benchmark CORe50, specifically designed for continuous object recognition, and introduces baseline approaches for different continuous learning scenarios.

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Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization

C. Weber, Stefan Wermter, G. I. Parisi, J. Tani•Sun May 27 2018

The proposed dual-memory self-organizing architecture is evaluated on the CORe50 benchmark dataset for continuous object recognition, showing that it significantly outperform current methods of lifelong learning in three different incremental learning scenarios.

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