SOTAVerified

Semantic Segmentation

Papers

Showing 35513600 of 14763 papers

TitleStatusHype
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
Siamese NestedUNet Networks for Change Detection of High Resolution Satellite ImageCode1
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine LearningCode1
Perception for Autonomous Systems (PAZ)Code1
Hierarchical Neural Architecture Search for Deep Stereo MatchingCode1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian ModelCode1
Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing ImagesCode1
Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopyCode1
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement LearningCode1
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power LinesCode1
PseudoSeg: Designing Pseudo Labels for Semantic SegmentationCode1
Semantic-Guided Inpainting Network for Complex Urban Scenes ManipulationCode1
DEAL: Difficulty-aware Active Learning for Semantic SegmentationCode1
In Depth Bayesian Semantic Scene CompletionCode1
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region RefinementCode1
Auto Seg-Loss: Searching Metric Surrogates for Semantic SegmentationCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background IntegrationCode1
Generalized Few-shot Semantic SegmentationCode1
Learning the Pareto Front with HypernetworksCode1
Automatic Data Augmentation for 3D Medical Image SegmentationCode1
Vec2Instance: Parameterization for Deep Instance SegmentationCode1
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM ImagesCode1
Neural BootstrapperCode1
AIM 2020 Challenge on Image Extreme InpaintingCode1
Unsupervised Point Cloud Pre-Training via Occlusion CompletionCode1
Hard Negative Mixing for Contrastive LearningCode1
Linguistic Structure Guided Context Modeling for Referring Image SegmentationCode1
Referring Image Segmentation via Cross-Modal Progressive ComprehensionCode1
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic SegmentationCode1
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner FiltersCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal MixupCode1
RelativeNAS: Relative Neural Architecture Search via Slow-Fast LearningCode1
EfficientSeg: An Efficient Semantic Segmentation NetworkCode1
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision FarmingCode1
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy ImagesCode1
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance SegmentationCode1
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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