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 35013525 of 5035 papers

TitleStatusHype
Tangles and Hierarchical Clustering0
Task-Aware Low-Rank Adaptation of Segment Anything Model0
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation0
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation0
Task-driven Prompt Evolution for Foundation Models0
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation0
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation0
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation0
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation0
TBI Image/Text (TBI-IT): Comprehensive Text and Image Datasets for Traumatic Brain Injury Research0
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation0
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls0
TECM: Transfer Learning-based Evidential C-Means Clustering0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge0
Template-Based Active Contours0
Temporally Coherent Person Matting Trained on Fake-Motion Dataset0
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation0
Temporally stable video segmentation without video annotations0
TESA: Tensor Element Self-Attention via Matricization0
Testing the Segment Anything Model on radiology data0
TeST: Test-time Self-Training under Distribution Shift0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates0
Test-Time Modality Generalization for Medical Image Segmentation0
Test-Time Training for Deformable Multi-Scale Image Registration0
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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