atlas

Research map / Detection and segmentation / CNN features

Recurrent Attentional Networks for Saliency Detection

CVPR 2016 · Detection and segmentation › CNN features · approach: RGB salient object detection · 210 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add recurrent attention and iterative refinement (ablation)CNN-DecNN · MSRA10KF-M: 87.91 -> 89.98Helped
add recurrent attention and iterative refinement (ablation)CNN-DecNN · THUR15KF-M: 69.28 -> 71.12Helped
add recurrent attention and iterative refinement (ablation)CNN-DecNN · HKUISF-M: 82.48 -> 85.57Helped
add recurrent attention and iterative refinement (ablation)CNN-DecNN · ECSSDF-M: 85.72 -> 87.81Helped
add recurrent attention and iterative refinement (ablation)CNN-DecNN · SED2F-M: 82.79 -> 85.35Helped
add recurrent connections to attentional refinement (ablation)CNN-DecNN + NRACDNN · MSRA10KF-M: 88.62 -> 89.98Helped
add recurrent connections to attentional refinement (ablation)CNN-DecNN + NRACDNN · THUR15KF-M: 70.39 -> 71.12Helped
add recurrent connections to attentional refinement (ablation)CNN-DecNN + NRACDNN · HKUISF-M: 83.74 -> 85.57Helped
add recurrent connections to attentional refinement (ablation)CNN-DecNN + NRACDNN · ECSSDF-M: 86.65 -> 87.81Helped
add recurrent connections to attentional refinement (ablation)CNN-DecNN + NRACDNN · SED2F-M: 83.99 -> 85.35Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy