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Semantic Segmentation

Papers

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Showing 12801–12850 of 14763 papers

TitleStatusHype
Context-Aware Semantic Segmentation: Enhancing Pixel-Level Understanding with Large Language Models for Advanced Vision Applications—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
Context-Enhanced Detector For Building Detection From Remote Sensing Images—0
ContextFormer: Redefining Efficiency in Semantic Segmentation—0
Context-Integrated and Feature-Refined Network for Lightweight Object Parsing—0
ContextLoss: Context Information for Topology-Preserving Segmentation—0
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time—0
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space—0
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection—0
Context Propagation from Proposals for Semantic Video Object Segmentation—0
Contextrast: Contextual Contrastive Learning for Semantic Segmentation—0
Context-Reinforced Semantic Segmentation—0
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention—0
Context Tricks for Cheap Semantic Segmentation—0
Contextual Graph Reasoning Networks—0
Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation—0
Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery—0
Contextual Hourglass Networks for Segmentation and Density Estimation—0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images—0
Contextualising Implicit Representations for Semantic Tasks—0
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery—0
Continental-Scale Building Detection from High Resolution Satellite Imagery—0
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation—0
Continual Learning for Class- and Domain-Incremental Semantic Segmentation—0
Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network—0
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations—0
Continual Semantic Segmentation with Automatic Memory Sample Selection—0
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer—0
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections—0
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation—0
Continuous U-Net: Faster, Greater and Noiseless—0
Contour Field based Elliptical Shape Prior for the Segment Anything Model—0
Contour Loss: Boundary-Aware Learning for Salient Object Segmentation—0
Contour Loss for Instance Segmentation via k-step Distance Transformation Image—0
Contour Manifolds and Optimal Transport—0
ContourRend: A Segmentation Method for Improving Contours by Rendering—0
ContourRender: Detecting Arbitrary Contour Shape For Instance Segmentation In One Pass—0
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet—0
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation—0
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation—0
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining—0
Contrastive Learning-Based Spectral Knowledge Distillation for Multi-Modality and Missing Modality Scenarios in Semantic Segmentation—0
Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation—0
Contrastive Learning for Label-Efficient Semantic Segmentation—0
Contrastive Learning for Label Efficient Semantic Segmentation—0
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data—0
Contrastive Multiview Coding with Electro-optics for SAR 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
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