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 48514875 of 5035 papers

TitleStatusHype
A Multi-scale Multiple Instance Video Description Network0
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence0
A new Level-set based Protocol for Accurate Bone Segmentation from CT Imaging0
Deep Learning for Medical Image Segmentation0
Exploring Models and Data for Image Question AnsweringCode0
Graphical Potential Games0
Deep Learning for Object Saliency Detection and Image Segmentation0
Kernel Spectral Clustering and applications0
Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph0
Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes0
Identifying Reliable Annotations for Large Scale Image Segmentation0
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization0
Image Segmentation and Restoration Using Parametric Contours With Free Endpoints0
Evolving Fuzzy Image Segmentation with Self-Configuration0
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity0
Efficient piecewise training of deep structured models for semantic segmentation0
Visual Saliency Based on Multiscale Deep Features0
CRF Learning with CNN Features for Image Segmentation0
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks0
Fully Connected Deep Structured Networks0
Brain Tumor Segmentation: A Comparative Analysis0
Convex Color Image Segmentation with Optimal Transport Distances0
Inference of hidden structures in complex physical systems by multi-scale clustering0
Bethe Learning of Conditional Random Fields via MAP Decoding0
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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