SOTAVerified

Image Registration

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

Source: Image registration | Wikipedia

( Image credit: Kornia )

Papers

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Showing 551–575 of 953 papers

TitleStatusHype
Scanning diffraction imaging without stable illumination and scan position information—0
Scene recognition based on DNN and game theory with its applications in human-robot interaction—0
SceneSqueezer: Learning To Compress Scene for Camera Relocalization—0
SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration—0
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy—0
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network—0
Self-Supervised Discovery of Anatomical Shape Landmarks—0
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator—0
Semi-Supervised Deep Metrics for Image Registration—0
Semi-weakly-supervised neural network training for medical image registration—0
InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration—0
Shuffled Linear Regression via Spectral Matching—0
siftservice.com - Turning a Computer Vision algorithm into a World Wide Web Service—0
Signals as Parametric Curves: Application to Independent Component Analysis and Blind Source Separation—0
Single color digital H&E staining with In-and-Out Net—0
SIRF: Simultaneous Image Registration and Fusion in A Unified Framework—0
Slicer Networks—0
Slice-to-volume medical image registration: a survey—0
Sliding at first order: Higher-order momentum distributions for discontinuous image registration—0
Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration—0
Spatiotemporal motion prediction in free-breathing liver scans via a recurrent multi-scale encoder decoder—0
Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data—0
ssEMnet: Serial-section Electron Microscopy Image Registration using a Spatial Transformer Network with Learned Features—0
State-of-the-Art in Retinal Optical Coherence Tomography Image Analysis—0
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RAN4+DSC0.62—Unverified
2CLIP+SVD+ViTDSC0.61—Unverified
3CLIP+SVD+ResNetDSC0.6—Unverified
4CLIP+ViTDSC0.59—Unverified
5Chatgpt+SVDDSC0.58—Unverified
6RMAnDSC0.55—Unverified
7RAN3DSC0.54—Unverified
8SAME++DSC0.49—Unverified
9DnetDSC0.47—Unverified
#ModelMetricClaimedVerifiedStatus
1LKRetinamAUC0.76—Unverified
2SuperRetinamAUC0.76—Unverified
3REMPE, JBHI 2020mAUC0.72—Unverified
4GLAMpoints, ICCV 2019mAUC0.62—Unverified
5SIFTmAUC0.57—Unverified
6PBO, ICIP 2010mAUC0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1DnetASD5.01—Unverified
2RMAnASD3.83—Unverified
3RAN4+ASD3.8—Unverified
4RAN3ASD3.01—Unverified
#ModelMetricClaimedVerifiedStatus
1Region-specific Diffeomorphic Metric MappingDice68.18—Unverified
2vSVF-net [shen2019networks]Dice67.59—Unverified
#ModelMetricClaimedVerifiedStatus
1Recursive Refinement Networklandmarks0.83—Unverified