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 701750 of 5035 papers

TitleStatusHype
MasQCLIP for Open-Vocabulary Universal Image SegmentationCode1
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image SegmentationCode1
Uni-3D: A Universal Model for Panoptic 3D Scene ReconstructionCode1
MCF: Mutual Correction Framework for Semi-Supervised Medical Image SegmentationCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
Masked Event Modeling: Self-Supervised Pretraining for Event CamerasCode1
Focal-UNet: UNet-like Focal Modulation for Medical Image SegmentationCode1
Segmentation Ability Map: Interpret deep features for medical image segmentationCode1
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure SegmentationCode1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
Efficient Mirror Detection via Multi-level Heterogeneous LearningCode1
Topologically faithful image segmentation via induced matching of persistence barcodesCode1
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image SegmentationCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
Mean Shift Mask Transformer for Unseen Object Instance SegmentationCode1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Prompt Tuning for Parameter-efficient Medical Image SegmentationCode1
Learning from partially labeled data for multi-organ and tumor segmentationCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and TrackingCode1
Open-vocabulary Semantic Segmentation with Frozen Vision-Language ModelsCode1
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentationCode1
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled DataCode1
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation NetworkCode1
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image SegmentationCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
Improving Object-centric Learning with Query OptimizationCode1
ResAttUNet: Detecting Marine Debris using an Attention activated Residual UNetCode1
Optimizing Vision Transformers for Medical Image SegmentationCode1
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT ImagesCode1
Complementary consistency semi-supervised learning for 3D left atrial image segmentationCode1
Predictive Inference with Feature Conformal PredictionCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
PLN: Parasitic-Like Network for Barely Supervised Medical Image SegmentationCode1
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical SegmentationCode1
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid SegmentationCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial ImagesCode1
Towards Robust Referring Image SegmentationCode1
Attentive Symmetric Autoencoder for Brain MRI SegmentationCode1
Rethinking the Unpretentious U-net for Medical Ultrasound Image SegmentationCode1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
Landmark-free Statistical Shape Modeling via Neural Flow DeformationsCode1
DOMINO: Domain-aware Model Calibration in Medical Image 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