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 44014425 of 5035 papers

TitleStatusHype
Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications0
CFCM: Segmentation via Coarse to Fine Context MemoryCode0
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation0
Referring Image Segmentation via Recurrent Refinement NetworksCode0
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural NetworksCode0
On the Importance of Label Quality for Semantic Segmentation0
DenseASPP for Semantic Segmentation in Street ScenesCode0
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region GrowingCode0
Interactive Image Segmentation With Latent DiversityCode0
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion0
Learn the new, keep the old: Extending pretrained models with new anatomy and images0
Fully Automated Organ Segmentation in Male Pelvic CT Images0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images0
Convexity Shape Prior for Level Set based Image Segmentation Method0
Quickshift++: Provably Good Initializations for Sample-Based Mean ShiftCode0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks0
Convolutional CRFs for Semantic SegmentationCode0
Facade Segmentation in the Wild0
Combo Loss: Handling Input and Output Imbalance in Multi-Organ SegmentationCode0
Semantic Binary Segmentation using Convolutional Networks without DecodersCode0
On the iterative refinement of densely connected representation levels for semantic segmentationCode0
Stack-U-Net: Refinement Network for Image Segmentation on the Example of Optic Disc and Cup0
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation0
Stacked U-Nets: A No-Frills Approach to Natural Image SegmentationCode0
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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