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Semantic Segmentation

Papers

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Showing 9451–9475 of 14763 papers

TitleStatusHype
Multi-Stage Fusion for One-Click Segmentation—0
Multi-stage Object Detection with Group Recursive Learning—0
Multi-Stage Pathological Image Classification using Semantic Segmentation—0
Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast Cancer Image Segmentation—0
Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation—0
Multi-stream CNN based Video Semantic Segmentation for Automated Driving—0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
Multi-Target Domain Adaptation with Collaborative Consistency Learning—0
MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach—0
Multi-Task Consistency for Active Learning—0
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation—0
Multi-task deep learning for image segmentation using recursive approximation tasks—0
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation—0
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images—0
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation—0
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—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