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 22512275 of 5035 papers

TitleStatusHype
Focal Attention Networks: optimising attention for biomedical image segmentation0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation0
Flower Categorization using Deep Convolutional Neural Networks0
Combined Approach for Image Segmentation0
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient0
A Generative Victim Model for Segmentation0
Flow Based Self-supervised Pixel Embedding for Image Segmentation0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences0
Combinatorial Energy Learning for Image Segmentation0
Combinatorial clustering and the beta negative binomial process0
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation0
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing0
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images0
Flame quality monitoring of flare stack based on deep visual features0
Color Recognition in Challenging Lighting Environments: CNN Approach0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation0
A review of mean-shift algorithms for clustering0
First arrival picking using U-net with Lovasz loss and nearest point picking method0
Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding0
Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means0
A review of individual tree crown detection and delineation from optical remote sensing images0
A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation0
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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