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 33013350 of 5035 papers

TitleStatusHype
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction0
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey0
Self-Supervised Pretraining for Aerial Road Extraction0
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation0
Self-supervised Registration and Segmentation of the Ossicles with A Single Ground Truth Label0
Self-mentoring: a new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation0
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images0
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation0
Self-training with dual uncertainty for semi-supervised medical image segmentation0
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI0
SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation0
Semantic Context Encoding for Accurate 3D Point Cloud Segmentation0
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation0
Semantic Image Segmentation: Two Decades of Research0
Semantic Image Segmentation with Deep Learning for Vine Leaf Phenotyping0
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform0
Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation0
Semantic RGB-D Image Synthesis0
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation0
Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples0
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models0
Semantic Segmentation Using Transfer Learning on Fisheye Images0
Semantic Segmentation using Vision Transformers: A survey0
Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions0
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization0
Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars0
Semi-Automated Segmentation of Geoscientific Data Using Superpixels0
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation0
SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering0
Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing0
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation0
Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images0
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment0
Semi-supervised few-shot learning for medical image segmentation0
Semi-Supervised Image-to-Image Translation0
Semi-Supervised Learning for Eye Image Segmentation0
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation0
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations0
Semi-supervised Medical Image Segmentation through Dual-task Consistency0
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer0
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training0
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models0
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision0
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training0
Semi-supervised Node Splitting for Random Forest Construction0
Semi-Supervised Normalized Cuts for Image Segmentation0
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE0
Semi-Supervised Segmentation via Embedding Matching0
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey0
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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