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 951975 of 5035 papers

TitleStatusHype
Segment Anything without SupervisionCode3
Parallax-tolerant Image Stitching via Segmentation-guided Multi-homography WarpingCode1
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO0
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text CuesCode1
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans0
EFCNet: Every Feature Counts for Small Medical Object Segmentation0
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual SegmentationCode0
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse ProcessCode2
Few-Shot Medical Image Segmentation with High-Fidelity PrototypesCode1
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation0
Test-Time Generative Augmentation for Medical Image SegmentationCode1
Point-SAM: Promptable 3D Segmentation Model for Point CloudsCode3
Medical Image Segmentation Using Directional Window AttentionCode0
Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image PreprocessingCode0
Automatically Adaptive Conformal Risk ControlCode0
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and EvaluationCode1
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery0
Self-Supervised Alignment Learning for Medical Image Segmentation0
Segmenting Dead Sea Scroll Fragments for a Scientific Image Set0
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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