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 125 of 5035 papers

TitleStatusHype
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion ModelCode0
Unified Medical Image Segmentation with State Space Modeling Snake0
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKVCode1
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight ComputersCode0
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges0
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks0
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image SegmentationCode0
Rethinking Query-based Transformer for Continual Image SegmentationCode1
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations0
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation ModelsCode1
OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts0
SAMed-2: Selective Memory Enhanced Medical Segment Anything ModelCode1
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation0
No time to train! Training-Free Reference-Based Instance SegmentationCode3
Autoadaptive Medical Segment Anything ModelCode0
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback SynergyCode1
Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays0
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation0
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts0
MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification0
Segment Anything in Pathology Images with Natural Language0
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking0
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image SegmentationCode0
Show:102550
← PrevPage 1 of 202Next →

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