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Semantic Segmentation

Papers

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Showing 10601–10650 of 14763 papers

TitleStatusHype
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular ControlCode0
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images—0
Re-designing cities with conditional adversarial networks—0
Streaming Self-Training via Domain-Agnostic Unlabeled Images—0
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation—0
First arrival picking using U-net with Lovasz loss and nearest point picking method—0
DCANet: Dense Context-Aware Network for Semantic Segmentation—0
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic SegmentationCode0
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images—0
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation—0
Hierarchical Pyramid Representations for Semantic Segmentation—0
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients—0
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient ImagesCode0
Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—0
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation—0
LiftPool: Bidirectional ConvNet Pooling—0
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy—0
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision—0
The surprising impact of mask-head architecture on novel class segmentationCode0
Learning Foreground-Background Segmentation from Improved Layered GANs—0
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking—0
Learning to Track Instances without Video Annotations—0
Evaluation of Multimodal Semantic Segmentation using RGB-D Data—0
Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification—0
Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite—0
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation—0
Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage—0
Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization—0
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images—0
Source-Free Domain Adaptation for Semantic Segmentation—0
Physics-based Differentiable Depth Sensor Simulation—0
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks—0
Geometric Unsupervised Domain Adaptation for Semantic Segmentation—0
Locate then Segment: A Strong Pipeline for Referring Image Segmentation—0
Exploiting Invariance in Training Deep Neural NetworksCode0
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures—0
Assessing the Role of Random Forests in Medical Image Segmentation—0
Photoacoustic image synthesis with generative adversarial networks—0
Category-Adaptive Domain Adaptation for Semantic Segmentation—0
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image SegmentationCode0
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN—0
Noise Injection-based Regularization for Point Cloud Processing—0
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks—0
An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation—0
Instance segmentation with the number of clusters incorporated in embedding learning—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic 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
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