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Semantic Segmentation

Papers

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Showing 11851–11900 of 14763 papers

TitleStatusHype
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects—0
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation—0
An Accurate Texture Complexity Estimation for Quality-Enhanced and Secure Image Steganography—0
Gated Path Selection Network for Semantic Segmentation—0
GraphBGS: Background Subtraction via Recovery of Graph Signals—0
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation—0
Indoor Layout Estimation by 2D LiDAR and Camera Fusion—0
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map—0
Effects of annotation granularity in deep learning models for histopathological images—0
Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data—0
Structured Consistency Loss for semi-supervised semantic segmentation—0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment—0
Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Synthesis and Perspective—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Adversarial Loss for Semantic Segmentation of Aerial Imagery—0
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention—0
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark—0
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data—0
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency—0
Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images—0
Fast Neural Network Adaptation via Parameter Remapping and Architecture SearchCode0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation—0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network—0
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation—0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)—0
FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slidesCode0
Graph-FCN for image semantic segmentation—0
Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality—0
Stagnant zone segmentation with U-net—0
Multi-lane Detection Using Instance Segmentation and Attentive Voting—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Discovering Latent Classes for Semi-Supervised Semantic Segmentation—0
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory—0
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation—0
Transfer Learning for Brain Tumor Segmentation—0
TextScanner: Reading Characters in Order for Robust Scene Text Recognition—0
One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation—0
Pointwise Attention-Based Atrous Convolutional Neural Networks—0
An Abstraction Model for Semantic Segmentation Algorithms—0
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation—0
Efficient Video Semantic Segmentation with Labels Propagation and Refinement—0
Learn to Segment Retinal Lesions and BeyondCode0
Neural ODEs for Image Segmentation with Level Sets—0
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images—0
TRADI: Tracking deep neural network weight distributions for uncertainty estimation—0
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsCode0
Computation Reallocation for Object Detection—0
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling—0
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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