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 101–110 of 162 papers

TitleStatusHype
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction—0
Multimedia Technology Applications and Algorithms: A Survey—0
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation—0
ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching—0
Multi-view Disparity Estimation Using a Novel Gradient Consistency Model—0
VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors—0
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer—0
Object-Centric Stereo Matching for 3D Object Detection—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems—0
Show:102550
← PrevPage 11 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