SOTAVerified

Semantic Segmentation

Papers

Showing 49264950 of 14763 papers

TitleStatusHype
Model Doctor for Diagnosing and Treating Segmentation ErrorCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Count- and Similarity-aware R-CNN for Pedestrian DetectionCode0
Model Guidance via Explanations Turns Image Classifiers into Segmentation ModelsCode0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-NetCode0
Cost-Effective Active Learning for Melanoma SegmentationCode0
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image SegmentationCode0
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image SegmentationCode0
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsCode0
MMTM: Multimodal Transfer Module for CNN FusionCode0
Attentive NormalizationCode0
Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial ImagesCode0
MLP-GAN for Brain Vessel Image SegmentationCode0
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent LabelingCode0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
A Comprehensive Overhaul of Feature DistillationCode0
Mix and match networks: encoder-decoder alignment for zero-pair image translationCode0
Attention Normalization Impacts Cardinality Generalization in Slot AttentionCode0
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene SegmentationCode0
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep LearningCode0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
Show:102550
← PrevPage 198 of 591Next →

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