SOTAVerified

Disparity Estimation

The Disparity Estimation is the task of finding the pixels in the multiscopic views that correspond to the same 3D point in the scene.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 121–130 of 162 papers

TitleStatusHype
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
Stereo Event Lifetime and Disparity Estimation for Dynamic Vision Sensors—0
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching—0
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching—0
AutoDispNet: Improving Disparity Estimation With AutoMLCode0
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks—0
Multi-View Stereo by Temporal Nonparametric FusionCode0
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context AggregationCode0
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
Show:102550
← PrevPage 13 of 17Next →
All datasetsSintel 4D LFV - ambushfight5Sintel 4D LFV - bamboo3Sintel 4D LFV - shaman2Sintel 4D LFV - thebigfight2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)62.05—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)53.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)74.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)17.75—Unverified