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Semantic Segmentation

Papers

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Showing 9001–9025 of 14763 papers

TitleStatusHype
Transframer: Arbitrary Frame Prediction with Generative Models—0
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks—0
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers—0
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation—0
MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation—0
Transitive Distance Clustering with K-Means Duality—0
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model—0
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes—0
Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction—0
Multi-Task Neural Processes—0
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation—0
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS—0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Transparency Distortion Robustness for SOTA Image Segmentation Tasks—0
WegFormer: Transformers for Weakly Supervised Semantic Segmentation—0
Reducing the Model Variance of a Rectal Cancer Segmentation Network—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—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