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 24012425 of 5035 papers

TitleStatusHype
Fast Barcode Retrieval for Consensus Contouring0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models0
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method0
Application of the Ring Theory in the Segmentation of Digital Images0
Fashioning with Networks: Neural Style Transfer to Design Clothes0
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation0
Classroom Slide Narration System0
Application of Superpixels to Segment Several Landmarks in Running Rodents0
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches0
3D Randomized Connection Network with Graph-based Label Inference0
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images0
Distribution-Aware Replay for Continual MRI Segmentation0
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks0
Fair Federated Medical Image Segmentation via Client Contribution Estimation0
Class Balanced PixelNet for Neurological Image Segmentation0
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer0
Class-Aware Adversarial Transformers for Medical Image Segmentation0
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation0
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?0
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding0
Face Mask Extraction in Video Sequence0
Face Identification with Second-Order Pooling0
Facade Segmentation in the Wild0
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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