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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1676–1700 of 5035 papers

TitleStatusHype
Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach—0
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization—0
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation—0
An image segmentation algorithm for measurement of flotation froth bubble size distributions—0
ADS_UNet: A Nested UNet for Histopathology Image Segmentation—0
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Entropy Based Cartoon Texture Separation—0
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Entropy Minimization for Convex Relaxation Approaches—0
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures—0
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation—0
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models—0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
Error-tolerant Scribbles Based Interactive Image Segmentation—0
E-SAM: Training-Free Segment Every Entity Model—0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision—0
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
Freestyle Sketch-in-the-Loop Image Segmentation—0
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation—0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation—0
Fully Automated Organ Segmentation in Male Pelvic CT Images—0
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified