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Semantic Segmentation

Papers

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Showing 4401–4425 of 14763 papers

TitleStatusHype
DidSee: Diffusion-Based Depth Completion for Material-Agnostic Robotic Perception and Manipulation—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention—0
Did Evolution get it right? An evaluation of Near-Infrared imaging in semantic scene segmentation using deep learning—0
Dictionary-based Framework for Interpretable and Consistent Object Parsing—0
BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks—0
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning—0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding—0
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation—0
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation—0
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation—0
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving—0
Analysis of Vision-based Abnormal Red Blood Cell Classification—0
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation—0
Diagnostics in Semantic Segmentation—0
3D Ultrasound image segmentation: A Survey—0
tsmp: An R Package for Time Series with Matrix Profile—0
DGST : Discriminator Guided Scene Text detector—0
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment—0
Bi-Manual Joint Camera Calibration and Scene Representation—0
Analysis of Sparse Subspace Clustering: Experiments and Random Projection—0
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation—0
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation—0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation—0
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control—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