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 40764100 of 5035 papers

TitleStatusHype
Outline Objects using Deep Reinforcement Learning0
Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of β-VAE0
Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation0
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation0
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation0
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation0
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation0
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation0
Palette-based Color Transfer between Images0
Pallet Detection from Synthetic Data Using Game Engines0
Panoptic-Depth Color Map for Combination of Depth and Image Segmentation0
PAN: Projective Adversarial Network for Medical Image Segmentation0
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation0
Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation0
Parallel WiSARD object tracker: a ram-based tracking system0
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation0
Parameter Learning for Log-supermodular Distributions0
Parametric Image Segmentation of Humans with Structural Shape Priors0
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems0
PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation0
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning0
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation0
Particle methods enable fast and simple approximation of Sobolev gradients in 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