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 451475 of 5035 papers

TitleStatusHype
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal CarcinomaCode1
Interfacing Foundation Models' EmbeddingsCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency RegularizationCode1
Loss Functions in the Era of Semantic Segmentation: A Survey and OutlookCode1
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image SegmentationCode1
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised AdaptationCode1
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentationCode1
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Focus on Query: Adversarial Mining Transformer for Few-Shot SegmentationCode1
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
I-MedSAM: Implicit Medical Image Segmentation with Segment AnythingCode1
Unleashing the Power of Prompt-driven Nucleus Instance SegmentationCode1
Spatially Covariant Image Registration with Text PromptsCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation AlgorithmsCode1
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-DisambiguationCode1
Slide-SAM: Medical SAM Meets Sliding WindowCode1
On the Overconfidence Problem in Semantic 3D MappingCode1
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage SegmentationCode1
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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