8 datasets found

A video salient object detection method using flow guided recurrent neural encoder.

A video salient object detection method using pyramid dilated deeper convlstm.

A video salient object detection method using fully convolutional networks.

A video salient object detection method using optical flow.

A video salient object detection method equipped with a triple excitation mechanism.

The dataset is used for video salient object detection and segmentation. It contains video saliency detection datasets, including DAVSOD, DAVIS, FBMS, SegV2, and ViSal.

A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation.

Feature matters for salient object detection. Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered...