Papers › DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

19 Mar 2020arXiv:2003.08608archive 2025-07-28

Zuyao Chen, Runmin Cong, Qianqian Xu, Qingming Huang

There are two main issues in RGB-D salient object detection: (1) how to effectively integrate the complementarity from the cross-modal RGB-D data; (2) how to prevent the contamination effect from the unreliable depth map. In fact, these two problems are linked and intertwined, but the previous methods tend to focus only on the first problem and ignore the consideration of depth map quality, which may yield the model fall into the sub-optimal state. In this paper, we address these two issues in a holistic model synergistically, and propose a novel network named DPANet to explicitly model the potentiality of the depth map and effectively integrate the cross-modal complementarity. By introducing the depth potentiality perception, the network can perceive the potentiality of depth information in a learning-based manner, and guide the fusion process of two modal data to prevent the contamination occurred. The gated multi-modality attention module in the fusion process exploits the attention mechanism with a gate controller to capture long-range dependencies from a cross-modal perspective. Experimental results compared with 15 state-of-the-art methods on 8 datasets demonstrate the validity of the proposed approach both quantitatively and qualitatively.

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conv1x1 JosephChenHub/DPANet/resnet.py official repository ran · our draft was wrong MIT (permissive) · d9def42110729a85 · report
conv3x3 JosephChenHub/DPANet/resnet.py official repository ran · our draft was wrong MIT (permissive) · 160bb14bd76201b4 · report
crop JosephChenHub/DPANet/lib/transform.py official repository unverified MIT (permissive) · dcfaf1f12fe41909 · report
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resize JosephChenHub/DPANet/lib/transform.py official repository unverified MIT (permissive) · 600f77ad92f7a6fc · report
resnet18 JosephChenHub/DPANet/resnet.py official repository unverified MIT (permissive) · 964c07aa981e3dbd · report
train_collate_fn JosephChenHub/DPANet/lib/dataset.py official repository unverified MIT (permissive) · a083d5eaad197336 · report

Tasks

Object DetectionRGB Salient Object DetectionRGB-D Salient Object DetectionSalient Object DetectionThermal Image Segmentationobject-detection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Thermal Image Segmentation RGB-T-Glass-Segmentation DPANet MAE 0.154 #22 of 22 Archive leaderboard report

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