DHF1K 是一个视频显著性数据集。该数据集由 1K 高质量精心挑选的视频序列组成，涵盖大量场景、动作、对象类型和背景复杂度。 DHF1K 总共包含 1,000 个视频，其中 700 个视频带有标注（600 个视频用于训练，100 个视频用于验证），300 个视频用于测试，将在一个公共服务器上进行评估。

Citation

@InProceedings{Wang_2018_CVPR, author = {Wang, Wenguan and Shen, Jianbing and Guo, Fang and Cheng, Ming-Ming and Borji, Ali}, title = {Revisiting Video Saliency: A Large-Scale Benchmark and a New Model}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition}, year = {2018} } @ARTICLE{Wang_2019_revisitingVS, author={W. {Wang} and J. {Shen} and J. {Xie} and M. {Cheng} and H. {Ling} and A. {Borji}}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, title={Revisiting Video Saliency Prediction in the Deep Learning Era}, year={2019}, }