SOTAVerified

Semantic Segmentation

Papers

Showing 16011650 of 14763 papers

TitleStatusHype
End-to-End Human Instance MattingCode1
Dataset Enhancement with Instance-Level AugmentationsCode1
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningCode1
Class Re-Activation Maps for Weakly-Supervised Semantic SegmentationCode1
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic MemoryCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
AI Playground: Unreal Engine-based Data Ablation Tool for Deep LearningCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States CitiesCode1
Class Tokens Infusion for Weakly Supervised Semantic SegmentationCode1
CLUSTSEG: Clustering for Universal SegmentationCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
AI-SAM: Automatic and Interactive Segment Anything ModelCode1
Full-Duplex Strategy for Video Object SegmentationCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRICode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
1st Place Solution for 5th LSVOS Challenge: Referring Video Object SegmentationCode1
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Fully Convolutional Open Set SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
Classification Calibration for Long-tail Instance SegmentationCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural NetworksCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image SegmentationCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
DACS: Domain Adaptation via Cross-domain Mixed SamplingCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo LabelersCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Unified Domain Adaptive Semantic SegmentationCode1
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI DataCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
A Large-Scale Benchmark for Food Image SegmentationCode1
Adversarial Learning for Semi-Supervised Semantic 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
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation 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