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Disparity Estimation

17 papers with code · Computer Vision

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Learning for Disparity Estimation through Feature Constancy

CVPR 2018 JiaRenChang/PSMNet

The second part performs matching cost calculation, matching cost aggregation and disparity calculation to estimate the initial disparity using shared features.

DISPARITY ESTIMATION STEREO MATCHING STEREO MATCHING HAND

Embedded real-time stereo estimation via Semi-Global Matching on the GPU

13 Oct 2016dhernandez0/sgm

Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles.

AUTONOMOUS VEHICLES DISPARITY ESTIMATION

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

ICCV 2019 uber-research/DeepPruner

Our goal is to significantly speed up the runtime of current state-of-the-art stereo algorithms to enable real-time inference.

AUTONOMOUS DRIVING DISPARITY ESTIMATION IMAGE RECONSTRUCTION STEREO MATCHING

Understanding and Robustifying Differentiable Architecture Search

20 Sep 2019automl/RobustDARTS

Differentiable Architecture Search (DARTS) has attracted a lot of attention due to its simplicity and small search costs achieved by a continuous relaxation and an approximation of the resulting bi-level optimization problem.

DISPARITY ESTIMATION IMAGE CLASSIFICATION LANGUAGE MODELLING

Fast Disparity Estimation using Dense Networks

19 May 2018roatienza/densemapnet

Disparity estimation is a difficult problem in stereo vision because the correspondence technique fails in images with textureless and repetitive regions.

DISPARITY ESTIMATION

CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation

CVPR 2018 kbatsos/CBMV

The success of these methods is due to the availability of training data with ground truth; training learning-based systems on these datasets has allowed them to surpass the accuracy of conventional approaches based on heuristics and assumptions.

DISPARITY ESTIMATION STEREO MATCHING STEREO MATCHING HAND

Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

9 Sep 2019DeepMotionAIResearch/DenseMatchingBenchmark

However, disparity is just a byproduct of a matching process modeled by cost volume, while indirectly learning cost volume driven by disparity regression is prone to overfitting since the cost volume is under constrained.

DISPARITY ESTIMATION STEREO MATCHING STEREO MATCHING HAND

Understanding and Robustifying Differentiable Architecture Search

ICLR 2020 MetaAnonym/RobustDARTS

Differentiable Architecture Search (DARTS) has attracted a lot of attention due to its simplicity and small search costs achieved by a continuous relaxation and an approximation of the resulting bi-level optimization problem.

DISPARITY ESTIMATION IMAGE CLASSIFICATION LANGUAGE MODELLING

Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling

CVPR 2017 gidariss/DRR_struct_pred

Instead, we propose a generic architecture that decomposes the label improvement task to three steps: 1) detecting the initial label estimates that are incorrect, 2) replacing the incorrect labels with new ones, and finally 3) refining the renewed labels by predicting residual corrections w. r. t.

DISPARITY ESTIMATION STEREO MATCHING STEREO MATCHING HAND STRUCTURED PREDICTION

SENSE: a Shared Encoder Network for Scene-flow Estimation

ICCV 2019 NVlabs/SENSE

We introduce a compact network for holistic scene flow estimation, called SENSE, which shares common encoder features among four closely-related tasks: optical flow estimation, disparity estimation from stereo, occlusion estimation, and semantic segmentation.

DISPARITY ESTIMATION OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION SEMANTIC SEGMENTATION