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 22012225 of 5035 papers

TitleStatusHype
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training0
A SAM based Tool for Semi-Automatic Food Annotation0
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation0
A Contrario Selection of Optimal Partitions for Image Segmentation0
Freestyle Sketch-in-the-Loop Image Segmentation0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation0
Compassionately Conservative Balanced Cuts for Image Segmentation0
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models0
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation0
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks0
Free Form based active contours for image segmentation and free space perception0
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images0
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation0
FRAP analysis Measuring biophysical kinetic parameters using image analysis0
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures0
Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization0
A Geometric Flow Approach for Segmentation of Images with Inhomongeneous Intensity and Missing Boundaries0
Framework for lung CT image segmentation based on UNet++0
Fractional Calculus In Image Processing: A Review0
Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation0
FP-PET: Large Model, Multiple Loss And Focused Practice0
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans0
Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm0
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation0
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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