SOTAVerified

Segmentation

Papers

Showing 1100111025 of 13072 papers

TitleStatusHype
Where Is My Mirror?Code0
Segmentation by registration-enabled SAM prompt engineering using five reference imagesCode0
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter ConvolutionCode0
Unsupervised Segmentation for Terracotta Warrior Point Cloud (SRG-Net)Code0
Text and Click inputs for unambiguous open vocabulary instance segmentationCode0
Weakly Supervised Energy-Based Learning for Action SegmentationCode0
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functionsCode0
SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain AdaptationCode0
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound ImagesCode0
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image SegmentationCode0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
REG: Refined Generalized Focal Loss for Road Asset Detection on Thai Highways Using Vision-Based Detection and Segmentation ModelsCode0
Vanishing-Point-Guided Video Semantic Segmentation of Driving ScenesCode0
Uncertainty-based Detection of Adversarial Attacks in Semantic SegmentationCode0
Uncertainty-Based Dynamic Graph Neighborhoods For Medical SegmentationCode0
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point CloudCode0
Predicting Ground-Level Scene Layout from Aerial ImageryCode0
Variational Augmentation for Enhancing Historical Document Image BinarizationCode0
Text Segmentation as a Supervised Learning TaskCode0
Text Segmentation based on Semantic Word EmbeddingsCode0
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic SegmentationCode0
Predicting Future Instance Segmentation by Forecasting Convolutional FeaturesCode0
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation ProblemCode0
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic SegmentationCode0
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Benchmark Results

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