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 32763300 of 5035 papers

TitleStatusHype
Segmenting Dead Sea Scroll Fragments for a Scientific Image Set0
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation0
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation0
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks0
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation0
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations0
Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels0
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation0
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging0
Self-Configuring and Evolving Fuzzy Image Thresholding0
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification0
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation0
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation0
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation0
Self-similarity Student for Partial Label Histopathology Image Segmentation0
Self-Supervised Alignment Learning for Medical Image Segmentation0
Self-Supervised Audio-Visual Co-Segmentation0
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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