SOTAVerified

Segmentation

Papers

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Showing 3351–3375 of 13072 papers

TitleStatusHype
Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance—0
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation—0
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems—0
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio—0
Adapting Segment Anything Model for Unseen Object Instance Segmentation—0
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification—0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior—0
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge—0
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans—0
Analysing Diffusion Segmentation for Medical Images—0
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation—0
Bat Optimized Watershed based Segmentation of Lamina Cribrosa—0
An algorithm for DC segmentation of AC power systems to mitigate electromechanical oscillations—0
Adapting SAM for Surgical Instrument Tracking and Segmentation in Endoscopic Submucosal Dissection Videos—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
An Alarm System For Segmentation Algorithm Based On Shape Model—0
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation—0
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation—0
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation—0
E2E-Swin-Unet++: An Enhanced End-to-End Swin-Unet Architecture With Dual Decoders For PTMC Segmentation—0
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified