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 14511475 of 5035 papers

TitleStatusHype
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation0
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey0
Gradient-based Parameter Selection for Efficient Fine-TuningCode1
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis0
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model0
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal CarcinomaCode1
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
ReCoRe: Regularized Contrastive Representation Learning of World Model0
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation0
Advanced Image Segmentation Techniques for Neural Activity Detection via C-fos Immediate Early Gene Expression0
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework0
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation0
Interfacing Foundation Models' EmbeddingsCode1
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical ImageCode2
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation0
A dynamic interactive learning framework for automated 3D medical image segmentation0
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency RegularizationCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Flexible visual prompts for in-context learning in computer visionCode0
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation0
ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure ReconstructionCode0
SAR image segmentation algorithms based on I-divergence-TV model0
A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model0
Loss Functions in the Era of Semantic Segmentation: A Survey and OutlookCode1
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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