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Semantic Segmentation

Papers

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Showing 8801–8850 of 14763 papers

TitleStatusHype
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing—0
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images—0
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer—0
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense PredictionCode0
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain ShiftCode0
On the calibration of underrepresented classes in LiDAR-based semantic segmentation—0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
Composite Learning for Robust and Effective Dense Predictions—0
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains—0
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image SegmentationCode0
DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation—0
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation—0
Hierarchical Instance Mixing across Domains in Aerial Segmentation—0
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation—0
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image—0
Self-supervised video pretraining yields robust and more human-aligned visual representations—0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
The Fast and Accurate Approach to Detection and Segmentation of Melanoma Skin Cancer using Fine-tuned Yolov3 and SegNet Based on Deep Transfer Learning—0
Memory transformers for full context and high-resolution 3D Medical Segmentation—0
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners—0
Deep Fourier Up-SamplingCode0
DPANET:Dual Pooling Attention Network for Semantic Segmentation—0
Digitization of Raster Logs: A Deep Learning Approach—0
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation—0
Continual Learning with Evolving Class Ontologies—0
Scale Equivariant U-Net—0
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data—0
Transformer-based Flood Scene Segmentation for Developing Countries—0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Improving Data-Efficient Fossil Segmentation via Model Editing—0
Sequential Ensembling for Semantic Segmentation—0
Time-Space Transformers for Video Panoptic Segmentation—0
A Learning-based Framework for Topology-Preserving Segmentation using Quasiconformal Mappings—0
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision—0
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels—0
Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline—0
Domain Adaptation for Unknown Image Distortions in Instance Segmentation—0
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information—0
Two Video Data Sets for Tracking and Retrieval of Out of Distribution ObjectsCode0
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain LabelsCode0
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene—0
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search—0
ASAP: Accurate semantic segmentation for real time performance—0
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical SegmentationCode0
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift—0
Analysis of the performance of U-Net neural networks for the segmentation of living cellsCode0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation—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
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