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 48764900 of 5035 papers

TitleStatusHype
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal GenerationCode0
A review of mean-shift algorithms for clustering0
Image Segmentation in Liquid Argon Time Projection Chamber Detector0
Scalable Variational Inference in Log-supermodular Models0
Fusion of Image Segmentation Algorithms using Consensus Clustering0
Cardiac MR Image Segmentation Techniques: an overview0
Conditional Random Fields as Recurrent Neural NetworksCode0
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image SegmentationCode0
Fast Constraint Propagation for Image Segmentation0
Fast unsupervised Bayesian image segmentation with adaptive spatial regularisation0
Clothing Co-Parsing by Joint Image Segmentation and Labeling0
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation0
Parametric Image Segmentation of Humans with Structural Shape Priors0
Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks0
Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach0
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models0
Meaningful Objects Segmentation from SAR Images via A Multi-Scale Non-Local Active Contour Model0
Screen Content Image Segmentation Using Least Absolute Deviation Fitting0
Filter Design and Performance Evaluation for Fingerprint Image Segmentation0
Inverse Renormalization Group Transformation in Bayesian Image Segmentations0
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFsCode1
A deep-structured fully-connected random field model for structured inference0
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification0
An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation0
Candidate Constrained CRFs for Loss-Aware Structured Prediction0
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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