SOTAVerified

Semantic Segmentation

Papers

Showing 24512475 of 14763 papers

TitleStatusHype
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous DrivingCode1
Classification Calibration for Long-tail Instance SegmentationCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Deep learning approach to left ventricular non-compaction measurementCode1
A Probabilistic U-Net for Segmentation of Ambiguous ImagesCode1
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain GeneralizationCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
Advances in Deep Concealed Scene UnderstandingCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
Cooperative Self-Training for Multi-Target Adaptive Semantic SegmentationCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image SegmentationCode1
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningCode1
Class Re-Activation Maps for Weakly-Supervised Semantic SegmentationCode1
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static ImagesCode1
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography StudyCode1
How to train your ViT? Data, Augmentation, and Regularization in Vision TransformersCode1
Class Tokens Infusion for Weakly Supervised Semantic SegmentationCode1
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic ConvolutionCode1
Hybrid Task Cascade for Instance SegmentationCode1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified