Multi-View correlation distillation for incremental object detection

•A novel incremental object detection method is proposed to explore and transfer the multi-view correlations in the feature space of the object detector.•The correlation distillation losses for the sample-specific selective features from three views (channel-wise, point-wise and instance-wise) are designed.•A new metric called Stability-Plasticity-mAP (SPmAP) is proposed to measure the incremental object detector performance.•The proposed method achieves competitive results compared with previous incremental object detection methods.