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 19511975 of 5035 papers

TitleStatusHype
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
On Certified Generalization in Structured Prediction0
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions0
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder0
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation0
RRSIS: Referring Remote Sensing Image Segmentation0
A Client-server Deep Federated Learning for Cross-domain Surgical Image SegmentationCode0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation0
Extending CLIP's Image-Text Alignment to Referring Image Segmentation0
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation0
TomoSAM: a 3D Slicer extension using SAM for tomography segmentationCode1
Compositionally Equivariant Representation Learning0
Deep learning for Background Replacement in Video ConferencingCode0
AerialFormer: Multi-resolution Transformer for Aerial Image SegmentationCode1
PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image SegmentationCode1
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder0
Topology-Aware Uncertainty for Image SegmentationCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms0
Unsupervised augmentation optimization for few-shot medical image segmentation0
Channel prior convolutional attention for medical image segmentationCode1
ViG-UNet: Vision Graph Neural Networks for Medical Image SegmentationCode0
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical 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