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
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image SegmentationCode2
Multi-view Aggregation Network for Dichotomous Image SegmentationCode2
SlicerNNInteractive: A 3D Slicer extension for nnInteractiveCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image SegmentationCode2
Open-Vocabulary Camouflaged Object SegmentationCode2
DaCapo: a modular deep learning framework for scalable 3D image segmentationCode2
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationCode2
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease SegmentationCode2
Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode2
Masked-attention Mask Transformer for Universal Image SegmentationCode2
Mask2Former for Video Instance SegmentationCode2
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary SegmentationCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
ASAM: Boosting Segment Anything Model with Adversarial TuningCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for 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
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
LLM-Seg: Bridging Image Segmentation and Large Language Model ReasoningCode2
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation ModelsCode2
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationCode2
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image SegmentationCode2
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
IRSAM: Advancing Segment Anything Model for Infrared Small Target DetectionCode2
Language-driven Semantic SegmentationCode2
Image Segmentation in Foundation Model Era: A SurveyCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
MobileOne: An Improved One millisecond Mobile BackboneCode2
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image SegmentationCode2
Hierarchical Open-vocabulary Universal Image SegmentationCode2
HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationCode2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
Generative Medical SegmentationCode2
High-Precision Dichotomous Image Segmentation via Probing Diffusion CapacityCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
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
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
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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