SOTAVerified

Semantic Segmentation

Papers

Showing 25012550 of 14763 papers

TitleStatusHype
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object SegmentationCode1
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
On the Connection between Local Attention and Dynamic Depth-wise ConvolutionCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
DenoiseRep: Denoising Model for Representation LearningCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image SegmentationCode1
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer NormalizationCode1
CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance SegmentationCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
Clockwork Convnets for Video Semantic SegmentationCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Dense Dilated Convolutions Merging Network for Land Cover ClassificationCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-trainingCode1
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic InformationCode1
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered ScenesCode1
Dense Siamese Network for Dense Unsupervised LearningCode1
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic SegmentationCode1
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological imagesCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Dense Unsupervised Learning for Video SegmentationCode1
Co-segmentation Inspired Attention Module for Video-based Computer Vision TasksCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
Co-Scale Conv-Attentional Image TransformersCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback SynergyCode1
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
Point-Set Kernel ClusteringCode1
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy DataCode1
Detect Any Shadow: Segment Anything for Video Shadow DetectionCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
Clustering Plotted Data by Image SegmentationCode1
Clustering Propagation for Universal Medical Image SegmentationCode1
Detecting Anomalies in Semantic Segmentation with PrototypesCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image SegmentationCode1
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
CLUSTSEG: Clustering for Universal SegmentationCode1
DETRs with Hybrid MatchingCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Human Instance Matting via Mutual Guidance and Multi-Instance RefinementCode1
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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