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

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Showing 4101–4150 of 5035 papers

TitleStatusHype
PAN: Projective Adversarial Network for Medical Image Segmentation—0
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation—0
Generative adversarial network for segmentation of motion affected neonatal brain MRI—0
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation—0
Learning to Segment Skin Lesions from Noisy Annotations—0
PHiSeg: Capturing Uncertainty in Medical Image SegmentationCode1
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
Multi-scale self-guided attention for medical image segmentationCode0
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation—0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
Anatomical Priors for Image Segmentation via Post-Processing with Denoising AutoencodersCode0
Learning Shape Representation on Sparse Point Clouds for Volumetric Image SegmentationCode0
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor SegmentationCode0
Computing Valid p-values for Image Segmentation by Selective Inference—0
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors—0
Learning Active Contour Models for Medical Image Segmentation—0
Interactive Image Segmentation via Backpropagating Refinement Scheme—0
Versatile Multiple Choice Learning and Its Application to Vision Computing—0
Robust Histopathology Image Analysis: To Label or to Synthesize?—0
Semantic Projection Network for Zero- and Few-Label Semantic SegmentationCode0
Distributed Submodular Minimization via Block-Wise Updates and Communications—0
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification—0
Training Generative Adversarial Networks from Incomplete Observations using Factorised DiscriminatorsCode0
The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation—0
Flexibly Regularized Mixture Models and Application to Image Segmentation—0
Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted MulticutsCode0
Fully Hyperbolic Convolutional Neural Networks—0
End-to-End Learned Random Walker for Seeded Image SegmentationCode0
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation—0
Boundary Loss for Remote Sensing Imagery Semantic SegmentationCode0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation—0
Online Normalization for Training Neural NetworksCode0
Budget-aware Semi-Supervised Semantic and Instance Segmentation—0
Data augmentation in microscopic images for material data mining—0
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography—0
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation—0
Nostalgin: Extracting 3D City Models from Historical Image Data—0
A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods—0
Semantic Segmentation of Video Sequences with Convolutional LSTMsCode1
Multiple Encoder-Decoders Net for Lane Detection—0
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS—0
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation—0
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks—0
The iterative convolution-thresholding method (ICTM) for image segmentation—0
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

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