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Semantic Segmentation

Papers

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Showing 6951–7000 of 14763 papers

TitleStatusHype
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation—0
Semantic Segmentation in Learned Compressed Domain—0
Semi-Supervised Semantic Segmentation with Cross Teacher TrainingCode0
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis—0
Mapping the ocular surface from monocular videos with an application to dry eye disease grading—0
Contrastive Semantic-Guided Image Smoothing NetworkCode0
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition—0
Mayfly optimization with deep learning enabled retinal fundus image classification model—0
Image Models for large-scale Object Detection and Classification—0
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation—0
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut—0
SemSegDepth: A Combined Model for Semantic Segmentation and Depth CompletionCode1
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition—0
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI—0
FAKD: Feature Augmented Knowledge Distillation for Semantic SegmentationCode0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real DataCode0
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and BeyondCode1
Probing Contextual Diversity for Dense Out-of-Distribution DetectionCode0
PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection—0
Effective Image Tampering Localization with Multi-Scale ConvNeXt Feature FusionCode0
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis DiagnosisCode1
Boundary-Aware Network for Kidney ParsingCode1
An Access Control Method with Secret Key for Semantic Segmentation Models—0
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model—0
Digital Image Processing Applied To Object Segmentation By Intensity And Motion—0
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review—0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsCode0
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning—0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
Unbiased Multi-Modality Guidance for Image InpaintingCode1
Refine and Represent: Region-to-Object Representation LearningCode1
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud UnderstandingCode1
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model—0
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window—0
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
Fast and Precise Binary Instance Segmentation of 2D Objects for Automotive Applications—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS)—0
ForestEyes Project: Conception, Enhancements, and Challenges—0
Q-Net: Query-Informed Few-Shot Medical Image SegmentationCode1
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy—0
Semi-supervised Semantic Segmentation with Mutual Knowledge DistillationCode1
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

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