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 43764400 of 5035 papers

TitleStatusHype
Data-Driven Segmentation of Post-mortem Iris Images0
Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks0
Vehicle Image Generation Going Well with The Surroundings0
A Fully Convolutional Two-Stream Fusion Network for Interactive Image SegmentationCode0
TFLMS: Large Model Support in TensorFlow by Graph Rewriting0
Diversity in Machine Learning0
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis0
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor SegmentationCode0
Disparity Image Segmentation For ADAS0
Keypoint Transfer for Fast Whole-Body Segmentation0
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions0
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model0
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes0
Real-time Prediction of Segmentation Quality0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation0
Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code0
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation0
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation PipelinesCode0
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network0
Autoencoders for Multi-Label Prostate MR Segmentation0
Contextual Hourglass Networks for Segmentation and Density Estimation0
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation0
Efficient semantic image segmentation with superpixel poolingCode0
A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization0
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images0
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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