intra-saliency correlation network
- Asia > China > Tianjin Province > Tianjin (0.05)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
- Information Technology > Sensing and Signal Processing > Image Processing (1.00)
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
Review for NeurIPS paper: ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
Some related works missing There are some recent related works, such as [Ref. 1 Ref.3], and it is better to cite these papers and have some discussion. Tsai et al., "Deep Co-saliency Detection via Stacked Autoencoder-enabled Fusion and Self-trained CNNs," TMM'19 2. Overclaimed contribution The proposed method contains many components, such as the combination of intra- and inter-image saliency, correlation fusion module, the normalized masked average pooling, rearranged self-correlation feature. However, the combination of intra- and inter-image saliency is done in [9], and the correlation fusion module is adopted in [9], too. Besides, the normalized masked average pooling has been proposed in [23]. These three should not be claimed or emphasized as the paper's contribution, but the authors should emphasize the rearranged self-correlation component.