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Semantic Segmentation

Papers

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Showing 7301–7325 of 14763 papers

TitleStatusHype
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures—0
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement—0
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices—0
First arrival picking using U-net with Lovasz loss and nearest point picking method—0
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project—0
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions—0
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection—0
LQMFormer: Language-aware Query Mask Transformer for Referring Image Segmentation—0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images—0
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation—0
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection—0
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation—0
Latent Space Unsupervised Semantic Segmentation—0
Accurately identifying vertebral levels in large datasets—0
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices—0
Finger Vein Recognition by Generating Code—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation—0
Fine-tuning vision foundation model for crack segmentation in civil infrastructures—0
Layered Image Vectorization via Semantic Simplification—0
Layered Logic Classifiers: Exploring the `And' and `Or' Relations—0
Layered Scene Decomposition via the Occlusion-CRF—0
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation—0
Comparison of lidar semantic segmentation performance on the structured SemanticKITTI and off-road RELLIS-3D datasets—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