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Semantic Segmentation

Papers

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Showing 8326–8350 of 14763 papers

TitleStatusHype
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation—0
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB—0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation—0
LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection—0
LSKSANet: A Novel Architecture for Remote Sensing Image Semantic Segmentation Leveraging Large Selective Kernel and Sparse Attention Mechanism—0
LSM: Learning Subspace Minimization for Low-level Vision—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation—0
LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images—0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS—0
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation—0
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation—0
LudVision -- Remote Detection of Exotic Invasive Aquatic Floral Species using Drone-Mounted Multispectral Data—0
LULC classification by semantic segmentation of satellite images using FastFCN—0
LULC Segmentation of RGB Satellite Image Using FCN-8—0
Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns—0
Lung Diseases Image Segmentation using Faster R-CNNs—0
Lung image segmentation by generative adversarial networks—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Lung nodules segmentation from CT with DeepHealth toolkit—0
Lung Segmentation in Chest X-rays with Res-CR-Net—0
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue—0
LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation—0
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation—0
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects—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