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 25512575 of 5035 papers

TitleStatusHype
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower ExtremitiesCode0
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization0
Deepfake Image Generation for Improved Brain Tumor Segmentation0
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation0
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment0
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch EmbeddingsCode0
Atomic number estimation of dual energy cargo radiographs using a semiempirical transparency model0
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation0
Confidence Intervals for Performance Estimates in Brain MRI Segmentation0
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation0
Quantized Feature Distillation for Network Quantization0
Two Approaches to Supervised Image Segmentation0
Text2Layer: Layered Image Generation using Latent Diffusion Model0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation0
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation0
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks0
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-NetCode0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation0
Boundary-weighted logit consistency improves calibration of segmentation networks0
Challenge Results Are Not Reproducible0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation0
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video SegmentationCode0
SAM^Med: A medical image annotation framework based on large vision model0
3D Medical Image Segmentation based on multi-scale MPU-NetCode0
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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