SOTAVerified

Semantic Segmentation

Papers

Showing 23512400 of 14763 papers

TitleStatusHype
Medical Image Segmentation via Unsupervised Convolutional Neural NetworkCode1
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic SegmentationCode1
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped WindowsCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-raysCode1
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object DetectionCode1
A De-raining semantic segmentation network for real-time foreground segmentationCode1
Harmonic Feature Activation for Few-Shot Semantic SegmentationCode1
Cerberus Transformer: Joint Semantic, Affordance and Attribute ParsingCode1
HDBFormer: Efficient RGB-D Semantic Segmentation with A Heterogeneous Dual-Branch FrameworkCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
Hybrid Task Cascade for Instance SegmentationCode1
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic SegmentationCode1
Contrastive Transformation for Self-supervised Correspondence LearningCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
HarDNet: A Low Memory Traffic NetworkCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Contrastive Multimodal Fusion with TupleInfoNCECode1
CGA-Net: Category Guided Aggregation for Point Cloud Semantic SegmentationCode1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic SegmentationCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Contrastive Object-level Pre-training with Spatial Noise Curriculum LearningCode1
CAR: Class-aware Regularizations for Semantic SegmentationCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
Change-Aware Siamese Network for Surface Defects Segmentation under Complex BackgroundCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor EnvironmentsCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Channel Exchanging Networks for Multimodal and Multitask Dense Image PredictionCode1
Channel prior convolutional attention for medical image segmentationCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
Channel-wise Knowledge Distillation for Dense PredictionCode1
APNet: Urban-level Scene Segmentation of Aerial Images and Point CloudsCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSCode1
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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