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 12761300 of 5035 papers

TitleStatusHype
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion0
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes0
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling0
Flexibly Regularized Mixture Models and Application to Image Segmentation0
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition0
Argmax Flows: Learning Categorical Distributions with Normalizing Flows0
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography0
Efficient 3D Instance Mapping and Localization with Neural Fields0
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images0
Efficient Energy Minimization for Enforcing Statistics0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation0
Combined Approach for Image Segmentation0
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient0
A Generative Victim Model for Segmentation0
Combinatorial Energy Learning for Image Segmentation0
Combinatorial clustering and the beta negative binomial process0
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation0
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing0
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images0
Color Recognition in Challenging Lighting Environments: CNN Approach0
A review of mean-shift algorithms for clustering0
A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation0
Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding0
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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