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 3401–3450 of 5035 papers

TitleStatusHype
Better Image Segmentation by Exploiting Dense Semantic Predictions—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models—0
Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation—0
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation—0
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models—0
Beyond Semantic Image Segmentation : Exploring Efficient Inference in Video—0
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation—0
Bi-Directional Relationship Inferring Network for Referring Image Segmentation—0
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation—0
Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation—0
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods—0
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images—0
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once—0
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts—0
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation—0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation—0
Boosting Medical Image Classification with Segmentation Foundation Model—0
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning—0
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension—0
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures—0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
End-to-End Boundary Aware Networks for Medical Image Segmentation—0
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning—0
Boundary feature fusion network for tooth image segmentation—0
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation—0
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes—0
Boundary-sensitive Network for Portrait Segmentation—0
Boundary-weighted logit consistency improves calibration of segmentation networks—0
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation—0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision—0
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation—0
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization—0
Brain MRI Segmentation using Rule-Based Hybrid Approach—0
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation—0
Deep models for stroke segmentation: do complex architectures always perform better?—0
Brain Tumor Detection Based on Bilateral Symmetry Information—0
Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information—0
Brain Tumor Segmentation: A Comparative Analysis—0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques—0
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features—0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
Breast Cancer Detection Using Deep Learning Technique Based On Ultrasound Image—0
Breast lesion segmentation in ultrasound images with limited annotated data—0
Bridging Category-level and Instance-level Semantic Image Segmentation—0
Budget-aware Semi-Supervised Semantic and Instance Segmentation—0
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection—0
Building Networks for Image Segmentation using Particle Competition and Cooperation—0
BUNET: Blind Medical Image Segmentation Based on Secure UNET—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