SOTAVerified

Semantic Segmentation

Papers

Showing 9761000 of 14763 papers

TitleStatusHype
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
Analyzing Overfitting under Class Imbalance in Neural Networks for Image SegmentationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Crossover Learning for Fast Online Video Instance SegmentationCode1
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image SegmentationCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Cross-View Image Synthesis using Conditional GANsCode1
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-maskingCode1
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI -Should Different Clinical Objectives Mandate Different Loss Functions?Code1
Anatomical Data Augmentation via Fluid-based Image RegistrationCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Anatomically-aware Uncertainty for Semi-supervised Image SegmentationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image SegmentationCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
An Auto-Encoder Strategy for Adaptive Image SegmentationCode1
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmCode1
Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic SegmentationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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