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Semantic Segmentation

Papers

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Showing 7851–7875 of 14763 papers

TitleStatusHype
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights—0
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Location-Aware Self-Supervised Transformers for Semantic Segmentation—0
Combined Approach for Image Segmentation—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
LoCo: Local Contrastive Representation Learning—0
Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability—0
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Combinatorial Energy Learning for Image Segmentation—0
Bitewing Radiography Semantic Segmentation Base on Conditional Generative Adversarial Nets—0
Adversarial Networks for the Detection of Aggressive Prostate Cancer—0
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery—0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation—0
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions—0
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation—0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
Combinatorial clustering and the beta negative binomial process—0
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds—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