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 11011125 of 5035 papers

TitleStatusHype
ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural NetworksCode1
Source-Relaxed Domain Adaptation for Image SegmentationCode1
Polygonal Building Segmentation by Frame Field LearningCode1
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and BeyondCode1
Importance Driven Continual Learning for Segmentation Across DomainsCode1
An Auto-Encoder Strategy for Adaptive Image SegmentationCode1
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-netCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection SegmentationCode1
UNet 3+: A Full-Scale Connected UNet for Medical Image SegmentationCode1
Weakly supervised multiple instance learning histopathological tumor segmentationCode1
Test-Time Adaptable Neural Networks for Robust Medical Image SegmentationCode1
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain KnowledgeCode1
Using deep convolutional neural networks for neonatal brain image segmentationCode1
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane DetectionCode1
Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography ImagesCode1
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image SegmentationCode1
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic ImagesCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation MappingCode1
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated FusionCode1
Lake Ice Monitoring with Webcams and Crowd-Sourced ImagesCode1
Reinforced active learning for image segmentationCode1
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image SegmentationCode1
Stan: Small tumor-aware network for breast ultrasound 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