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 101150 of 5035 papers

TitleStatusHype
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image SegmentationCode2
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale AttentionCode2
Multimodal Information Interaction for Medical Image SegmentationCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationCode2
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentationCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet PerformanceCode2
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image SegmentationCode2
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and SegmentationCode2
Open-World Entity SegmentationCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationCode2
PEM: Prototype-based Efficient MaskFormer for Image SegmentationCode2
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing ImagesCode2
Masked-attention Mask Transformer for Universal Image SegmentationCode2
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationCode2
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary SegmentationCode2
Mask2Former for Video Instance SegmentationCode2
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image SegmentationCode2
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse PromptsCode2
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse PromptsCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation ModelsCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
LLM-Seg: Bridging Image Segmentation and Large Language Model ReasoningCode2
Medical Image Segmentation Review: The success of U-NetCode2
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
Language-driven Semantic SegmentationCode2
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image SegmentationCode2
IRSAM: Advancing Segment Anything Model for Infrared Small Target DetectionCode2
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
Image Segmentation in Foundation Model Era: A SurveyCode2
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image SegmentationCode2
AgileFormer: Spatially Agile Transformer UNet for Medical Image SegmentationCode2
Medical Image Segmentation with Domain Adaptation: A SurveyCode2
HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationCode2
Generative Medical SegmentationCode2
Hierarchical Open-vocabulary Universal Image SegmentationCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningCode2
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
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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