Papers › Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

1 Jun 2019CVPR 2019 6archive 2025-07-28

Jia-Xing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang

The large availability of depth sensors provides valuable complementary information for salient object detection (SOD) in RGBD images. However, due to the inherent difference between RGB and depth information, extracting features from the depth channel using ImageNet pre-trained backbone models and fusing them with RGB features directly are sub-optimal. In this paper, we utilize contrast prior, which used to be a dominant cue in none deep learning based SOD approaches, into CNNs-based architecture to enhance the depth information. The enhanced depth cues are further integrated with RGB features for SOD, using a novel fluid pyramid integration, which can make better use of multi-scale cross-modal features. Comprehensive experiments on 5 challenging benchmark datasets demonstrate the superiority of the architecture CPFP over 9 state-of-the-art alternative methods.

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Tasks

Object DetectionRGB Salient Object DetectionRGB-D Salient Object DetectionSalient Object Detectionobject-detection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
RGB-D Salient Object Detection DES CPFP Average MAE 0.038 #13 of 13 Archive leaderboard report
RGB-D Salient Object Detection DES CPFP S-Measure 87.2 #13 of 13 Archive leaderboard report
RGB-D Salient Object Detection DES CPFP max E-Measure 92.3 #13 of 13 Archive leaderboard report
RGB-D Salient Object Detection DES CPFP max F-Measure 84.6 #13 of 13 Archive leaderboard report
RGB-D Salient Object Detection LFSD CPFP Average MAE 0.088 #6 of 8 Archive leaderboard report
RGB-D Salient Object Detection LFSD CPFP S-Measure 82.8 #6 of 8 Archive leaderboard report
RGB-D Salient Object Detection LFSD CPFP max E-Measure 86.3 #6 of 8 Archive leaderboard report
RGB-D Salient Object Detection LFSD CPFP max F-Measure 81.1 #6 of 8 Archive leaderboard report
RGB-D Salient Object Detection NJU2K CPFP Average MAE 0.053 #23 of 27 Archive leaderboard report
RGB-D Salient Object Detection NJU2K CPFP S-Measure 87.8 #23 of 27 Archive leaderboard report
RGB-D Salient Object Detection NJU2K CPFP max E-Measure 92.6 #23 of 27 Archive leaderboard report
RGB-D Salient Object Detection NJU2K CPFP max F-Measure 87.7 #23 of 27 Archive leaderboard report
RGB-D Salient Object Detection NLPR CPFP Average MAE 0.036 #13 of 14 Archive leaderboard report
RGB-D Salient Object Detection NLPR CPFP S-Measure 88.8 #13 of 14 Archive leaderboard report
RGB-D Salient Object Detection NLPR CPFP max E-Measure 93.2 #13 of 14 Archive leaderboard report
RGB-D Salient Object Detection NLPR CPFP max F-Measure 86.7 #13 of 14 Archive leaderboard report
RGB-D Salient Object Detection RGBD135 CPFP Average MAE 0.082 #5 of 5 Archive leaderboard report
RGB-D Salient Object Detection RGBD135 CPFP S-Measure 80.7 #5 of 5 Archive leaderboard report
RGB-D Salient Object Detection RGBD135 CPFP max E-Measure 85.2 #5 of 5 Archive leaderboard report
RGB-D Salient Object Detection RGBD135 CPFP max F-Measure 76.6 #5 of 5 Archive leaderboard report
RGB-D Salient Object Detection SIP CPFP Average MAE 0.064 #15 of 16 Archive leaderboard report
RGB-D Salient Object Detection SIP CPFP S-Measure 85.0 #15 of 16 Archive leaderboard report
RGB-D Salient Object Detection SIP CPFP max E-Measure 90.3 #15 of 16 Archive leaderboard report
RGB-D Salient Object Detection SIP CPFP max F-Measure 85.1 #15 of 16 Archive leaderboard report
RGB-D Salient Object Detection STERE CPFP Average MAE 0.051 #14 of 14 Archive leaderboard report
RGB-D Salient Object Detection STERE CPFP S-Measure 87.9 #14 of 14 Archive leaderboard report
RGB-D Salient Object Detection STERE CPFP max E-Measure 92.5 #14 of 14 Archive leaderboard report
RGB-D Salient Object Detection STERE CPFP max F-Measure 87.4 #14 of 14 Archive leaderboard report

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