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Semantic Segmentation

Papers

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Showing 7576–7600 of 14763 papers

TitleStatusHype
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors—0
Joint Object and Part Segmentation using Deep Learned Potentials—0
Deep Learning For Computer Vision Tasks: A review—0
Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency—0
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation—0
Learning to Prompt Segment Anything Models—0
Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation—0
Learning to Prune Filters in Convolutional Neural Networks—0
Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines—0
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views—0
Deep learning for cardiac image segmentation: A review—0
A Mathematical Explanation of UNet—0
Active Scene Understanding via Online Semantic Reconstruction—0
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers—0
Joint Learning Templates and Slots for Event Schema Induction—0
Learning to Segment Dynamic Objects using SLAM Outliers—0
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours—0
Learning to segment fetal brain tissue from noisy annotations—0
Deep Learning for automated multi-scale functional field boundaries extraction using multi-date Sentinel-2 and PlanetScope imagery: Case Study of Netherlands and Pakistan—0
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter—0
Learning to segment from object sizes—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Joint Learning of Frequency and Spatial Domains for Dense Predictions—0
Deep learning denoising for EOG artifacts removal from EEG signals—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