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Semantic Segmentation

Papers

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Showing 12901–12950 of 14763 papers

TitleStatusHype
Cost-efficient segmentation of electron microscopy images using active learning—0
Co-training 2^L Submodels for Visual Recognition—0
Co-Training 2L Submodels for Visual Recognition—0
Could Giant Pretrained Image Models Extract Universal Representations?—0
Counterfactual Image Generation for adversarially robust and interpretable Classifiers—0
Counterfactual Image Networks—0
Counting and Segmenting Sorghum Heads—0
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks—0
Counting the uncountable: deep semantic density estimation from Space—0
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation—0
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation—0
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation—0
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds—0
CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting—0
CpT: Convolutional Point Transformer for 3D Point Cloud Processing—0
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning—0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy—0
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency—0
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks—0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster—0
CRF Learning with CNN Features for Image Segmentation—0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation—0
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation—0
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks—0
CRNet: Cross-Reference Networks for Few-Shot Segmentation—0
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation—0
A Vision-Based Navigation System for Arable Fields—0
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation—0
Cross Attention Network for Semantic Segmentation—0
Cross-aware Early Fusion with Stage-divided Vision and Language Transformer Encoders for Referring Image Segmentation—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks—0
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics—0
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving—0
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift—0
Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video—0
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging—0
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer—0
Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation—0
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model—0
CrossFormer: Cross-Segment Semantic Fusion for Document Segmentation—0
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation—0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training—0
Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation—0
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation—0
Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline—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