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.