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Semantic Segmentation

Papers

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Showing 8951–9000 of 14763 papers

TitleStatusHype
Mapping the ocular surface from monocular videos with an application to dry eye disease grading—0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation—0
Image Models for large-scale Object Detection and Classification—0
Mayfly optimization with deep learning enabled retinal fundus image classification model—0
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut—0
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI—0
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition—0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
FAKD: Feature Augmented Knowledge Distillation for Semantic SegmentationCode0
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real DataCode0
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
An Access Control Method with Secret Key for Semantic Segmentation Models—0
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
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsCode0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning—0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy—0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model—0
ForestEyes Project: Conception, Enhancements, and Challenges—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS)—0
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window—0
Fast and Precise Binary Instance Segmentation of 2D Objects for Automotive Applications—0
Deep Structural Causal Shape Models—0
Consistency Regularization for Domain AdaptationCode0
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image SegmentationCode0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
Extending nnU-Net is all you need—0
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset—0
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation—0
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed LearningCode0
Prompt-Matched Semantic Segmentation—0
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization—0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation—0
Low-light Enhancement Method Based on Attention Map Net—0
Test-time Training for Data-efficient UCDRCode0
Single-Stage Open-world Instance Segmentation with Cross-task Consistency RegularizationCode0
Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss—0
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation—0
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation—0
Estimating Appearance Models for Image Segmentation via Tensor FactorizationCode0
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI—0
Uni6Dv2: Noise Elimination for 6D Pose Estimation—0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation—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