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 15011525 of 5035 papers

TitleStatusHype
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric dataCode0
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model0
I-MedSAM: Implicit Medical Image Segmentation with Segment AnythingCode1
Clean Label Disentangling for Medical Image Segmentation with Noisy LabelsCode0
Image segmentation with traveling waves in an exactly solvable recurrent neural network0
Unleashing the Power of Prompt-driven Nucleus Instance SegmentationCode1
Spatially Covariant Image Registration with Text PromptsCode1
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation0
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
RISAM: Referring Image Segmentation via Mutual-Aware Attention Features0
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture0
Bayesian Neural Networks for 2D MRI Segmentation0
LACFormer: Toward accurate and efficient polyp segmentationCode0
Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation0
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsCode0
GMISeg: General Medical Image Segmentation without Re-Training0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
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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