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 33513375 of 5035 papers

TitleStatusHype
Explainable, automated urban interventions to improve pedestrian and vehicle safety0
Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image SegmentationCode0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks0
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation0
Semantic Segmentation for Urban-Scene ImagesCode0
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data0
Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding0
Temporally stable video segmentation without video annotations0
Convolutional Deep Denoising Autoencoders for Radio Astronomical Images0
Domain generalization in deep learning for contrast-enhanced imaging0
Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning0
Two-stage Visual Cues Enhancement Network for Referring Image SegmentationCode0
DenseNet approach to segmentation and classification of dermatoscopic skin lesions imagesCode0
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization0
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection0
Robust Segmentation of Cell Nuclei in 3-D Microscopy Images0
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection0
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice0
Differentiable Spline Approximations0
CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep LearningCode0
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation0
A Compositional Approach to Occlusion in Panoptic Segmentation0
UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION0
One Stage Autoencoders for Multi-Domain Learning0
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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