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Semantic Segmentation

Papers

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Showing 13251–13300 of 14763 papers

TitleStatusHype
Deformable-Heatmap-Segmentation for Automobile Visual Perception—0
Deformably-Scaled Transposed Convolution—0
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations—0
Delving into Decision-based Black-box Attacks on Semantic Segmentation—0
Delving into Transformer for Incremental Semantic Segmentation—0
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning—0
Demotivate adversarial defense in remote sensing—0
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases—0
Denoised Non-Local Neural Network for Semantic Segmentation—0
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling—0
Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models—0
De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors—0
Dense 3D Visual Mapping via Semantic Simplification—0
Dense CNN Learning with Equivalent Mappings—0
Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation—0
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency—0
Dense Dual-Path Network for Real-time Semantic Segmentation—0
Dense Fusion Classmate Network for Land Cover Classification—0
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification—0
Densely connected multidilated convolutional networks for dense prediction tasks—0
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
Dense Prediction with Attentive Feature Aggregation—0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
Dense RGB-D semantic mapping with Pixel-Voxel neural network—0
Dense Self-Supervised Learning for Medical Image Segmentation—0
Dense Semantic Contrast for Self-Supervised Visual Representation Learning—0
Dense Semantic Image Segmentation with Objects and Attributes—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation—0
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction—0
Dense Voxel 3D Reconstruction Using a Monocular Event Camera—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
Density-Based Clustering for 3D Object Detection in Point Clouds—0
Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling—0
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation—0
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes—0
DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks—0
Depth-Guided Semi-Supervised Instance Segmentation—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization—0
Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
DepthSeg: Depth prompting in remote sensing semantic segmentation—0
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation—0
Depth-SIMS: Semi-Parametric Image and Depth Synthesis—0
Depth-wise layering of 3d images using dense depth maps: a threshold based 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