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 151200 of 5035 papers

TitleStatusHype
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image SegmentationCode2
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image SegmentationCode2
Hierarchical Open-vocabulary Universal Image SegmentationCode2
MobileOne: An Improved One millisecond Mobile BackboneCode2
IRSAM: Advancing Segment Anything Model for Infrared Small Target DetectionCode2
Language-driven Semantic SegmentationCode2
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
Generative Medical SegmentationCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationCode2
High-Precision Dichotomous Image Segmentation via Probing Diffusion CapacityCode2
Full Page Handwriting Recognition via Image to Sequence ExtractionCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationCode2
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
Merging Context Clustering with Visual State Space Models for Medical Image SegmentationCode2
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated DatasetCode2
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale AttentionCode2
MouSi: Poly-Visual-Expert Vision-Language ModelsCode2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentationCode2
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image SegmentationCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationCode2
Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode2
HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal ModelCode2
One Token to Seg Them All: Language Instructed Reasoning Segmentation in VideosCode2
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
PEM: Prototype-based Efficient MaskFormer for Image SegmentationCode2
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease SegmentationCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image SegmentationCode2
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationCode2
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality CollaborationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
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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