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By putting an image pixel as the target and the surrounding pixels as distractors, a search guided saliency model is designed in accordance with these findings.
Abstract. We propose a new type of saliency as inspired by findings from visual search studies - the searching difficulty is correlated with.
Prototype guidance generation A straightforward method to learn saliency from attention module is self- guided learning from the main task's loss function.
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By putting an image pixel as the target and the surrounding pixels as distractors, a search guided saliency model is designed in accordance with these findings.
Abstract: Existing person search methods integrate person detection and re-identification (re-ID) module into a unified system.
List of references · Tsotsos, J.: Analyzing vision at the complexity level. · Marchesotti, L., Cifarelli, C., Csurka, G.: A framework for visual saliency ...
Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017) - caption-guided-saliency/visualization.py at master ...
Sep 20, 2016 · This paper proposes an iterative analysis of the scene by using saliency maps to guide the search to more promising regions, instead of ...
Jun 1, 2022 · The guided search theory suggests that global sources of scenes are important for robust visual processing.