SOTAVerified

Semantic Segmentation

Papers

Showing 46264650 of 14763 papers

TitleStatusHype
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN0
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image SegmentationCode0
SurgicalSAM: Efficient Class Promptable Surgical Instrument SegmentationCode1
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping0
DSAT-Net: Dual Spatial Attention Transformer for Building Extraction from Aerial ImagesCode1
Improving Audio-Visual Segmentation with Bidirectional GenerationCode0
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes0
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation0
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks0
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions0
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation0
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene ParsingCode1
DSFNet: Dual-GCN and Location-fused Self-attention with Weighted Fast Normalized Fusion for Polyps SegmentationCode0
Future Video Prediction from a Single Frame for Video Anomaly Detection0
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic SegmentationCode0
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation0
Self-Prompting Large Vision Models for Few-Shot Medical Image SegmentationCode1
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global PixelsCode1
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified