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 14761500 of 5035 papers

TitleStatusHype
Geometric Framework for Cell Oversegmentation0
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
A Turing Test for Artificial Nets devoted to model Human Vision0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation0
Entropy-based measure of rock sample heterogeneity derived from micro-CT imagesCode0
Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches0
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures0
Medical Semantic Segmentation with Diffusion Pretrain0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation0
Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference EnginesCode0
Point Cloud Upsampling as Statistical Shape Model for Pelvic0
Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models0
Freestyle Sketch-in-the-Loop Image Segmentation0
LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images0
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image SegmentationCode0
Additive Manufacturing Processes Protocol Prediction by Artificial Intelligence using X-ray Computed Tomography data0
QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks0
A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation0
Rethinking Early-Fusion Strategies for Improved Multimodal Image Segmentation0
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learningCode0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP0
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling0
A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases0
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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