SOTAVerified

Semantic Segmentation

Papers

Showing 1045110475 of 14763 papers

TitleStatusHype
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Coherent Loss: A Generic Framework for Stable Video Segmentation0
Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing ImagesCode1
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian ModelCode1
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopyCode1
Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions0
Segmentation of the cortical plate in fetal brain MRI with a topological loss0
Task-Adaptive Feature Transformer for Few-Shot Segmentation0
Learning to Sort Image Sequences via Accumulated Temporal Differences0
Efficient Scale-Permuted Backbone with Learned Resource Distribution0
An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleCode2
Posterior Re-calibration for Imbalanced DatasetsCode0
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training0
2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 20200
Dense Dual-Path Network for Real-time Semantic Segmentation0
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement LearningCode1
What is Wrong with Continual Learning in Medical Image Segmentation?0
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks0
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power LinesCode1
AutoBSS: An Efficient Algorithm for Block Stacking Style Search0
Color Image Segmentation Metrics0
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation0
Continual Unsupervised Domain Adaptation for Semantic SegmentationCode0
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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