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 48514900 of 5035 papers

TitleStatusHype
NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks0
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation0
nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources0
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation0
Noisy Image Segmentation With Soft-Dice0
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling0
Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation0
Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques0
Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement0
Nonparametric Bayesian Texture Learning and Synthesis0
Nonparametric clustering for image segmentation0
Nonparametric Part Transfer for Fine-grained Recognition0
Non-pooling Network for medical image segmentation0
A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization0
Nostalgin: Extracting 3D City Models from Historical Image Data0
Not Every Tree Is a Forest: Benchmarking Forest Types from Satellite Remote Sensing0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM20
Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering0
Nuclei Segmentation In Microscope Cell Images: A Hand-Segmented Dataset And Comparison Of Algorithms0
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation0
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts0
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation0
OASIS: One-pass aligned Atlas Set for Image Segmentation0
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation0
Object Discovery via Cohesion Measurement0
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms0
OCTID: Optical Coherence Tomography Image Database0
OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation0
ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection0
Offset Curves Loss for Imbalanced Problem in Medical Segmentation0
On Certified Generalization in Structured Prediction0
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving0
On-Device Unsupervised Image Segmentation0
On distances, paths and connections for hyperspectral image segmentation0
On Efficient Variants of Segment Anything Model: A Survey0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation0
One Stage Autoencoders for Multi-Domain Learning0
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud0
On Evaluating the Adversarial Robustness of Semantic Segmentation Models0
Online Learning of Reusable Abstract Models for Object Goal Navigation0
Online Reflective Learning for Robust Medical Image Segmentation0
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent0
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation0
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation0
On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging0
On the Importance of Label Quality for Semantic Segmentation0
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation0
On the status of current quantum machine learning software0
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations0
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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