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Semantic Segmentation

Papers

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Showing 6651–6700 of 14763 papers

TitleStatusHype
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage—0
Expert-Adaptive Medical Image Segmentation—0
Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models—0
Improving Pallet Detection Using Synthetic Data—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts—0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation—0
Hybridnet for depth estimation and semantic segmentation—0
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation—0
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers—0
Classifying point clouds at the facade-level using geometric features and deep learning networksCode0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—0
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic SurgeryCode0
Point-VOS: Pointing Up Video Object Segmentation—0
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
On the Effect of Image Resolution on Semantic Segmentation—0
Early Fusion of Features for Semantic Segmentation—0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound—0
Color Recognition in Challenging Lighting Environments: CNN Approach—0
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
Energy-based Domain-Adaptive Segmentation with Depth Guidance—0
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation—0
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical SegmentationCode0
HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space—0
Constrained Multiview Representation for Self-supervised Contrastive Learning—0
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene ParsingCode0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation—0
Deep Spectral Improvement for Unsupervised Image Instance SegmentationCode0
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation—0
M^3Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing—0
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods—0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes—0
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation NetworkCode0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse—0
Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced DatasetsCode0
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning—0
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysisCode0
Delving into Decision-based Black-box Attacks on Semantic Segmentation—0
Convolution kernel adaptation to calibrated fisheyeCode0
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision—0
Scale Equalization for Multi-Level Feature FusionCode0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
A Manifold Representation of the Key in Vision Transformers—0
Automatic Segmentation of the Spinal Cord Nerve RootletsCode0
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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
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