DHF1K
Introduced by Wang et al. in Revisiting Video Saliency: A Large-scale Benchmark and a New Model
DHF1K is a video saliency dataset which contains a ground-truth map of binary pixel-wise gaze fixation points and a continuous map of the fixation points after being blurred by a gaussian filter. DHF1K contains 1000 videos in total. 700 of the videos are annotated, 600 of which are used for training and 100 for validation. The remaining 300 are the testing set which are to be evaluated on a public server.
Source: ViP: Video Platform for PyTorch
Papers
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