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Semantic Segmentation

Papers

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Showing 7051–7100 of 14763 papers

TitleStatusHype
Triple-View Feature Learning for Medical Image SegmentationCode1
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge DistillationCode1
MILAN: Masked Image Pretraining on Language Assisted RepresentationCode1
MixSKD: Self-Knowledge Distillation from Mixup for Image RecognitionCode1
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D TreesCode0
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells—0
Joint reconstruction-segmentation on graphs—0
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation—0
Semantic Self-adaptation: Enhancing Generalization with a Single SampleCode1
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point SupervisionCode0
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation—0
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes—0
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture—0
Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance SegmentationCode1
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching—0
TSRFormer: Table Structure Recognition with Transformers—0
Occlusion-Aware Instance Segmentation via BiLayer Network ArchitecturesCode2
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Extrinsic Camera Calibration with Semantic SegmentationCode1
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation—0
Advancing Plain Vision Transformer Towards Remote Sensing Foundation ModelCode2
Two-Stream Networks for Object Segmentation in Videos—0
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty—0
A neuromorphic approach to image processing and machine vision—0
Global Hierarchical Attention for 3D Point Cloud Analysis—0
Distributed Contrastive Learning for Medical Image Segmentation—0
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and ApplicationsCode1
Exploring the Effects of Data Augmentation for Drivable Area Segmentation—0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Instance As Identity: A Generic Online Paradigm for Video Instance SegmentationCode1
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021—0
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy ImagesCode0
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning—0
Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards—0
PointConvFormer: Revenge of the Point-based Convolution—0
Relict landslide detection using Deep-Learning architectures for image segmentation in rainforest areas: A new frameworkCode1
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels—0
Improved post-hoc probability calibration for out-of-domain MRI segmentationCode0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Estimating Visual Information From Audio Through Manifold LearningCode0
Image-based Detection of Surface Defects in Concrete during ConstructionCode0
SSformer: A Lightweight Transformer for Semantic SegmentationCode1
Per-Clip Video Object SegmentationCode1
Multiclass ASMA vs Targeted PGD Attack in Image Segmentation—0
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based TrainingCode2
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain ImagesCode0
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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