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Semantic Segmentation

Papers

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Showing 9201–9250 of 14763 papers

TitleStatusHype
On Efficient Real-Time Semantic Segmentation: A Survey—0
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation—0
Waymo Open Dataset: Panoramic Video Panoptic Segmentation—0
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images—0
A Unified Sequence Interface for Vision Tasks—0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation—0
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation—0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey—0
Data-Driven Deep Supervision for Medical Image Segmentation—0
Confidence-Guided Unsupervised Domain Adaptation for Cerebellum Segmentation—0
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method—0
Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention—0
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation—0
Monitoring Urban Forests from Auto-Generated Segmentation Maps—0
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and DiceCode0
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUCode0
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GANCode0
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics—0
High-Definition Map Generation Technologies For Autonomous Driving—0
Access Control of Semantic Segmentation Models Using Encrypted Feature Maps—0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label DiffusionCode0
Spatial Entropy as an Inductive Bias for Vision TransformersCode0
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation—0
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
Deep Neural Patchworks: Coping with Large Segmentation Tasks—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
Wavelet Prior Attention Learning in Axial Inpainting Network—0
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain ExtractionCode0
FuSS: Fusing Superpixels for Improved Segmentation ConsistencyCode0
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices—0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training—0
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking—0
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing—0
Point-to-Voxel Knowledge Distillation for LiDAR Semantic SegmentationCode0
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network—0
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation—0
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation—0
A Deep-Learning Usability Expansion Model of Ocean Observations—0
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation—0
Learning Probabilistic Topological Representations Using Discrete Morse Theory—0
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation—0
A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation—0
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images—0
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection—0
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model—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