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 19762000 of 5035 papers

TitleStatusHype
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent HomologyCode0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image SegmentationCode0
Cost-Effective Active Learning for Melanoma SegmentationCode0
HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization AlgorithmCode0
Historical Document Image Segmentation with LDA-Initialized Deep Neural NetworksCode0
U-Net Fixed-Point Quantization for Medical Image SegmentationCode0
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency RegularizationCode0
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background SegmentationCode0
Improved post-hoc probability calibration for out-of-domain MRI segmentationCode0
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape MatchingCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
Hierarchical Roofline Performance Analysis for Deep Learning ApplicationsCode0
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image SegmentationCode0
Hierarchical Superpixel Segmentation via Structural Information TheoryCode0
HICH Image/Text (HICH-IT): Comprehensive Text and Image Datasets for Hypertensive Intracerebral Hemorrhage ResearchCode0
Convolutional Oriented Boundaries: From Image Segmentation to High-Level TasksCode0
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation ModelsCode0
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image SegmentationCode0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image SegmentationCode0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
HeMIS: Hetero-Modal Image SegmentationCode0
Convolutional CRFs for Semantic SegmentationCode0
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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