SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Showing 34263450 of 5035 papers

TitleStatusHype
Benefits of Linear Conditioning with Metadata for Image Segmentation0
Image Compositing for Segmentation of Surgical Tools without Manual AnnotationsCode1
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy0
Uncertainty-based method for improving poorly labeled segmentation datasets0
TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationCode1
Membership Inference Attacks are Easier on Difficult ProblemsCode0
Segmenting two-dimensional structures with strided tensor networksCode0
Saliency-Aware Class-Agnostic Food Image Segmentation0
Adversarial Segmentation Loss for Sketch ColorizationCode1
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation0
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsCode1
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving0
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring0
MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep LearningCode1
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors0
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image SegmentationCode1
Co-Seg: An Image Segmentation Framework Against Label Corruption0
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation0
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation0
Network-Agnostic Knowledge Transfer for Medical Image Segmentation0
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92Unverified
2HetNetIoU0.83Unverified
3PMDIoU0.82Unverified
4SANetIoU0.8Unverified
5MirrorNetIoU0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73Unverified
2HetNetIoU0.69Unverified
3SANetIoU0.67Unverified
4PMDIoU0.66Unverified
5MirrorNetIoU0.59Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8Unverified
2MAS-SAMmIoU0.79Unverified
3MASNetmIoU0.74Unverified
4ZoomNetmIoU0.74Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8Unverified
2PPSmIoUPartS58.6Unverified
3HIPIE (ResNet-50)mIoUPartS57.2Unverified
4JPPFmIoUPartS54.4Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74Unverified
2SAM2-UNetmIoU0.74Unverified
3MASNetmIoU0.73Unverified
4ZoomNetmIoU0.73Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6Unverified
2OneNete,4-SmAP0.552.75Unverified
3OneNeted,4mIoU14.9Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98Unverified
2PALEDDice0.98Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67Unverified
2UNetIoU0.57Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97Unverified