SOTAVerified

Semantic Segmentation

Papers

Showing 801850 of 14763 papers

TitleStatusHype
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion ModelsCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
Unified Domain Adaptive Semantic SegmentationCode1
Boosting Unsupervised Semantic Segmentation with Principal Mask ProposalsCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic RepresentationsCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing FlowsCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Boosting Video Object Segmentation via Space-time Correspondence LearningCode1
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Boosting Active Learning via Improving Test PerformanceCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAMCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
CV 3315 Is All You Need : Semantic Segmentation CompetitionCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
BlendMask: Top-Down Meets Bottom-Up for Instance SegmentationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image SegmentationCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image SegmentationCode1
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
Boosting Semantic Human Matting with Coarse AnnotationsCode1
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021Code1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Bridge the Points: Graph-based Few-shot Segment Anything SemanticallyCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for 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
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