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Semantic Segmentation

Papers

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Showing 8001–8050 of 14763 papers

TitleStatusHype
Efficient Video Instance Segmentation via Tracklet Query and Proposal—0
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object InteractionCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions—0
Continual BatchNorm Adaptation (CBNA) for Semantic SegmentationCode0
Conditional Reconstruction for Open-set Semantic SegmentationCode0
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image SegmentationCode1
Class Re-Activation Maps for Weakly-Supervised Semantic SegmentationCode1
Contextual Attention Network: Transformer Meets U-NetCode1
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasksCode1
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment—0
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI—0
Detecting Adversarial Perturbations in Multi-Task PerceptionCode0
Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations—0
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
An attention-based U-Net for detecting deforestation within satellite sensor imageryCode1
Image analysis for automatic measurement of crustose lichens—0
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector—0
Uncertainty categories in medical image segmentation: a study of source-related diversity—0
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data—0
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and CountingCode0
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud—0
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous DrivingCode1
Learning Semantic Segmentation from Multiple Datasets with Label Shifts—0
ConvNeXt-backbone HoVerNet for nuclei segmentation and classificationCode0
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingCode1
Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation—0
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature AggregationCode1
Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery—0
TransKD: Transformer Knowledge Distillation for Efficient Semantic SegmentationCode1
Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component—0
Application of DatasetGAN in medical imaging: preliminary studies—0
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment—0
Confidence Calibration for Object Detection and Segmentation—0
Local Intensity Order Transformation for Robust Curvilinear Object SegmentationCode1
ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network—0
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning—0
TeachAugment: Data Augmentation Optimization Using Teacher KnowledgeCode1
Weakly Supervised Instance Segmentation using Motion Information via Optical Flow—0
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage AssessmentCode1
Efficient Video Segmentation Models with Per-frame Inference—0
FreeSOLO: Learning to Segment Objects without AnnotationsCode2
Fully Self-Supervised Learning for Semantic Segmentation—0
Data variation-aware medical image segmentation—0
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition ImagesCode0
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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