DHF1K is a video saliency dataset. The dataset consists of 1K high-quality carefully selected video sequences, covering a wide range of scenes, actions, object types, and background complexities. DHF1K contains a total of 1,000 videos, of which 700 are annotated (600 videos for training and 100 videos for validation) and 300 videos for testing, which will be evaluated on a public server.

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}, }