Saliency Ranking
4 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Inferring Attention Shift Ranks of Objects for Image Saliency
Following psychological studies, in this paper, we propose to predict the saliency rank by inferring human attention shift.
Bi-directional Object-context Prioritization Learning for Saliency Ranking
We observe that spatial attention works concurrently with object-based attention in the human visual recognition system.
Partitioned Saliency Ranking with Dense Pyramid Transformers
The ranking by partition paradigm alleviates ranking ambiguities in a general sense, as it consistently improves the performance of other saliency ranking models.
Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm
To conquer, this paper proposes a new paradigm for saliency ranking, which aims to completely focus on ranking salient objects by their "importance order".