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Semantic Segmentation

Papers

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Showing 10101–10150 of 14763 papers

TitleStatusHype
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium SegmentationCode0
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging—0
Background-Foreground Segmentation for Interior Sensing in Automotive Industry—0
Multi-encoder parse-decoder network for sequential medical image segmentationCode0
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation—0
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer—0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Visual Representation Learning for Preference-Aware Path Planning—0
Transformer-Unet: Raw Image Processing with Unet—0
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net—0
Context-aware Padding for Semantic Segmentation—0
Dense Semantic Contrast for Self-Supervised Visual Representation Learning—0
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images—0
A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image SegmentationCode0
Towards agricultural autonomy: crop row detection under varying field conditions using deep learning—0
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net—0
UCP-Net: Unstructured Contour Points for Instance Segmentation—0
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks—0
S3LAM: Structured Scene SLAM—0
Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI datasetCode0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images—0
Neural Architecture Search in operational context: a remote sensing case-study—0
3D Annotation Of Arbitrary Objects In The Wild—0
Cross-Region Domain Adaptation for Class-level Alignment—0
Space Time Recurrent Memory Network—0
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image SegmentationCode0
Deep Joint Source-Channel Coding for Multi-Task Network—0
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation—0
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network—0
DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos—0
Automatic Portrait Video Matting via Context Motion Network—0
Temporally Coherent Person Matting Trained on Fake-Motion Dataset—0
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation—0
Temporal RoI Align for Video Object Recognition—0
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data—0
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection—0
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-RaysCode0
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Sparse Spatial Attention Network for Semantic Segmentation—0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions—0
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke—0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learningCode0
Weakly Supervised Few-Shot Segmentation Via Meta-Learning—0
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models—0
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?Code0
Benchmarking the Robustness of Instance Segmentation Models—0
Effect of the output activation function on the probabilities and errors in medical image segmentationCode0
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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