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Models/DFNet

DFNet

Reported on 32 benchmarks across 6 tasks · 3 papers · 28 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision26 results

Depth EstimationonTransCG
Delta < 1.25· 2022-02-17
99.71
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
Depth EstimationonTransCG
MAE· 2022-02-17
0.012
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
Depth EstimationonTransCG
REL· 2022-02-17
0.027
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
Depth EstimationonTransCG
RMSE· 2022-02-17
0.018
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
Depth EstimationonTransCG
delta < 1.05· 2022-02-17
83.76
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
Depth EstimationonTransCG
delta < 1.10· 2022-02-17
95.67
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3D Depth EstimationonTransCG
Delta < 1.25· 2022-02-17
99.71
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3D Depth EstimationonTransCG
MAE· 2022-02-17
0.012
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3D Depth EstimationonTransCG
REL· 2022-02-17
0.027
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3D Depth EstimationonTransCG
RMSE· 2022-02-17
0.018
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3D Depth EstimationonTransCG
delta < 1.05· 2022-02-17
83.76
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3D Depth EstimationonTransCG
delta < 1.10· 2022-02-17
95.67
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
VideoonFBMS
F-Score· 2020-08-04
82.3
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
VideoonDAVIS 2016
F-Score· 2020-08-04
81.8
best: 94.7 (AOC-MF (val))
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
VideoonDAVIS 2016 val
F· 2020-08-04
81.8
best: 90.2 (DEVA (DIS))
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
VideoonDAVIS 2016 val
G· 2020-08-04
82.6
best: 88.9 (GSANet)
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
VideoonDAVIS 2016 val
J· 2020-08-04
83.4
best: 88.3 (GSANet)
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
Video Object SegmentationonFBMS
F-Score· 2020-08-04
82.3
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
Video Object SegmentationonDAVIS 2016
F-Score· 2020-08-04
81.8
best: 94.7 (AOC-MF (val))
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
Video Object SegmentationonDAVIS 2016 val
F· 2020-08-04
81.8
best: 90.2 (DEVA (DIS))
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
Video Object SegmentationonDAVIS 2016 val
G· 2020-08-04
82.6
best: 88.9 (GSANet)
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
Video Object SegmentationonDAVIS 2016 val
J· 2020-08-04
83.4
best: 88.3 (GSANet)
SOTA
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation arXiv:2008.01270
Visual TrackingonGTOT
Precision· 2021-09-16
88.1
best: 95.2 (MambaVT-M256)
Dynamic Fusion Network for RGBT Tracking arXiv:2109.07662
Visual TrackingonGTOT
Success· 2021-09-16
71.9
best: 78.6 (MambaVT-M256)
Dynamic Fusion Network for RGBT Tracking arXiv:2109.07662
Visual TrackingonRGBT234
Precision· 2021-09-16
78.6
best: 94.6 (SUTrack-L224)
Dynamic Fusion Network for RGBT Tracking arXiv:2109.07662
Visual TrackingonRGBT234
Success· 2021-09-16
58.7
best: 70.8 (SUTrack-L224)
Dynamic Fusion Network for RGBT Tracking arXiv:2109.07662

Methodology6 results

3DonTransCG
Delta < 1.25· 2022-02-17
99.71
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3DonTransCG
MAE· 2022-02-17
0.012
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3DonTransCG
REL· 2022-02-17
0.027
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3DonTransCG
RMSE· 2022-02-17
0.018
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3DonTransCG
delta < 1.05· 2022-02-17
83.76
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471
3DonTransCG
delta < 1.10· 2022-02-17
95.67
SOTA
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline arXiv:2202.08471