Datasets › S-SOD

S-SOD (Surveillance Salient Object Detection)

Introduced by Tanveer Hussain et al. in Densely Deformable Efficient Salient Object Detection Network12 Feb 2021 archive 2025-07-28

To validate the generalization abilities of SOD models, we create a small-scale dataset by collecting the most challenging images with varying brightness and contrast, background and foreground colors overlap, among many others. We conclude that the current models, including ours, are not trust-worthy for real-world practice, demanding extensive future research for more efficient and generalized SOD models.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • S-SOD

1 variant name, as the archive lists them.

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