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Semantic Segmentation

Papers

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Showing 8626–8650 of 14763 papers

TitleStatusHype
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
The XPRESS Challenge: Xray Projectomic Reconstruction -- Extracting Segmentation with Skeletons—0
Thickened 2D Networks for Efficient 3D Medical Image Segmentation—0
Medical Semantic Segmentation with Diffusion Pretrain—0
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather—0
This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity—0
Thousand to One: Semantic Prior Modeling for Conceptual Coding—0
Three Birds One Stone: A General Architecture for Salient Object Segmentation, Edge Detection and Skeleton Extraction—0
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping—0
Three-dimensional reconstruction and characterization of bladder deformations—0
Three-dimensional ultrasound-based online system for automated ovarian follicle measurement—0
ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs—0
Not Every Tree Is a Forest: Benchmarking Forest Types from Satellite Remote Sensing—0
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection—0
Nostalgin: Extracting 3D City Models from Historical Image Data—0
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding—0
NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios—0
Threshold Attention Network for Semantic Segmentation of Remote Sensing Images—0
Normalized Feature Distillation for Semantic Segmentation—0
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation—0
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset—0
TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework—0
A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization—0
Normalized Cut Loss for Weakly-supervised CNN Segmentation—0
Rapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies -- a tiered approach—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