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 40264050 of 5035 papers

TitleStatusHype
Weakly Supervised Segmentation by A Deep Geodesic Prior0
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation0
Multiple Light Source Dataset for Colour ResearchCode0
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks0
High Accurate Unhealthy Leaf Detection0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationCode0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation0
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation0
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance0
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation0
Constrained domain adaptation for Image segmentationCode0
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis0
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation0
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks0
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural NetworkCode0
U-Net Fixed-Point Quantization for Medical Image SegmentationCode0
Robustifying deep networks for image segmentation0
Interior Object Detection and Color Harmonization0
A novel framework of the fuzzy c-means distances problem based weighted distance0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Lung image segmentation by generative adversarial networks0
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentationCode0
Multi-Task Attention-Based Semi-Supervised Learning for Medical 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