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 27262750 of 5035 papers

TitleStatusHype
Transparency Distortion Robustness for SOTA Image Segmentation Tasks0
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation0
Tree-Cut for Probabilistic Image Segmentation0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training0
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation0
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors0
Trilateral Attention Network for Real-time Medical Image Segmentation0
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images0
Tropical and Extratropical Cyclone Detection Using Deep Learning0
Trust, but Verify: Robust Image Segmentation using Deep Learning0
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research0
Trusting Semantic Segmentation Networks0
Trustworthy Deep Learning for Medical Image Segmentation0
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks0
TSI-Net: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography0
TSRFormer: Table Structure Recognition with Transformers0
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT0
Tumor-Centered Patching for Enhanced Medical Image Segmentation0
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation0
TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models0
Two Approaches to Supervised Image Segmentation0
Two Decades of Colorization and Decolorization for Images and Videos0
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism0
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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