SOTAVerified

Segmentation

Papers

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Showing 3226–3250 of 13072 papers

TitleStatusHype
Transformer-based Model for Oral Epithelial Dysplasia Segmentation—0
SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Model—0
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification—0
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation—0
Learning the What and How of Annotation in Video Object Segmentation—0
Lidar Annotation Is All You NeedCode1
Transfer learning from a sparsely annotated dataset of 3D medical imagesCode1
A 3D generative model of pathological multi-modal MR images and segmentationsCode1
Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS)—0
Multiclass Segmentation using Teeth Attention Modules for Dental X-ray Images—0
3D EAGAN: 3D edge-aware attention generative adversarial network for prostate segmentation in transrectal ultrasound images—0
Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence—0
Leveraging point annotations in segmentation learning with boundary loss—0
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
Rethinking Evaluation Metrics of Open-Vocabulary SegmentaionCode3
Pelvic floor MRI segmentation based on semi-supervised deep learning—0
GLaMM: Pixel Grounding Large Multimodal ModelCode2
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis—0
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward MaximizationCode1
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
PotholeGuard: A Pothole Detection Approach by Point Cloud Semantic Segmentation—0
Smart Traffic Management of Vehicles using Faster R-CNN based Deep Learning Method—0
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound ScalingCode1
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation—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