Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1815005(2022)
Binocular Depth Estimation Algorithm Based on Multi-Scale Attention Feature Fusion
Figures & Tables(14)
Fig. 7. Qualitative evaluation results of different networks on KITTI2015 dataset
Fig. 8. Qualitative evaluation results of different networks on KITTI2012 dataset
Fig. 9. Qualitative evaluation results of different networks on Middlebury-v3 dataset
Table 1. Ablation study results on SceneFlow dataset
View tableTable 1. Ablation study results on SceneFlow dataset
Module >1 pixel >2 pixel >3 pixel D1-all EPE /% GA MA CAA √ 0.0809 0.0438 0.0319 0.0260 0.757 √ √ 0.07780 0.0429 0.0316 0.0258 0.746 √ √ √ 0.0702 0.0384 0.0281 0.0226 0.662
Table 2. Comparison of EPE between MGNet and other methods
View tableTable 2. Comparison of EPE between MGNet and other methods
Parameter MCCNN GCNet iResNeti2 CRL PSMNet EdgeStereo SegStereo MGNet EPE /% 3.79 1.84 1.40 1.32 1.09 1.11 1.45 0.662
Table 3. Benchmark results of designed module on KITTI2015 dataset
View tableTable 3. Benchmark results of designed module on KITTI2015 dataset
GA MA Gwc CAA >3 pixel /% √ 2.20 √ √ 2.18 √ √ √ 2.06 √ √ √ √ 2.01
Table 4. Comparison of different networks on KITTI2015 dataset
View tableTable 4. Comparison of different networks on KITTI2015 dataset
Network ALL Noc D1-bg D1-fg D1-all D1-bg D1-fg D1-all DispNetC 4.32 4.41 4.34 4.11 3.72 4.05 CRL 2.48 3.59 2.67 2.32 3.12 2.45 PDSNet 2.29 4.05 2.58 2.09 3.68 2.36 GCNet 2.21 6.16 2.87 2.02 5.58 2.61 PSMNet 1.86 4.62 2.32 1.71 4.31 2.14 AANet 1.99 5.39 2.55 1.80 4.93 2.32 EdgeStereo 2.27 4.18 2.59 2.12 3.85 2.40 Big3D 1.95 3.48 2.21 1.79 3.11 2.01 MGNet 1.65 3.84 2.01 1.51 3.49 1.84
Table 5. Comparison of different networks on KITTI2012 dataset
View tableTable 5. Comparison of different networks on KITTI2012 dataset
Network >2 pixel >3 pixel >4 pixel >5 pixel Noc ALL Noc ALL Noc ALL Noc ALL DispNetC 7.38 8.11 4.11 4.65 2.77 3.20 2.05 2.39 PDSNet 3.82 4.65 1.92 2.53 1.38 1.85 1.12 1.51 GCNet 2.71 3.46 1.77 2.30 1.36 1.77 1.12 1.46 PSMNet 2.44 3.01 1.49 1.89 1.12 1.42 0.90 1.15 Edgestereo 2.79 2.43 1.73 2.18 1.30 1.64 1.04 1.32 SegStereo 2.66 3.19 1.68 2.03 1.25 1.52 1.00 1.21 SSPCVNET 2.47 3.09 1.47 1.90 1.08 1.41 0.87 1.14 EdgestereoV2 2.32 2.88 1.46 1.83 1.07 1.34 0.83 1.04 AANet 2.30 2.96 1.55 2.04 1.20 1.58 0.98 1.30 MGNet 2.12 2.71 1.34 1.76 1.01 1.34 0.82 1.08
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Huitong Yang, Liang Lei, Yongchun Lin. Binocular Depth Estimation Algorithm Based on Multi-Scale Attention Feature Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1815005
Paper Information
Category: Machine Vision
Received: Jul. 15, 2021
Accepted: Jul. 20, 2021
Published Online: Aug. 29, 2022
The Author Email: Liang Lei (leiliang@gdut.edu.cn)
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