SOTAVerified

Semantic Segmentation

Papers

Showing 38513900 of 14763 papers

TitleStatusHype
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation ProblemsCode1
Towards Open-Vocabulary Video Instance SegmentationCode1
Bidirectional Projection Network for Cross Dimension Scene UnderstandingCode1
Towards Open-World Text-Guided Face Image Generation and ManipulationCode1
Strip Pooling: Rethinking Spatial Pooling for Scene ParsingCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
Exploring Simple Open-Vocabulary Semantic SegmentationCode1
Towards Recognizing New Semantic Concepts in New Visual DomainsCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
DETRs with Hybrid MatchingCode1
Towards Robust Video Object Segmentation with Adaptive Object CalibrationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Fashion Matrix: Editing Photos by Just TalkingCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Temporally Consistent Referring Video Object Segmentation with Hybrid MemoryCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image SegmentationCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
Object Segmentation Without Labels with Large-Scale Generative ModelsCode1
Exploring Effective Factors for Improving Visual In-Context LearningCode1
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic SegmentationCode1
Enhanced Boundary Learning for Glass-like Object SegmentationCode1
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Exploring Cross-Image Pixel Contrast for Semantic SegmentationCode1
Exploring Event-driven Dynamic Context for Accident Scene SegmentationCode1
An End-to-End Computer Vision Methodology for Quantitative MetallographyCode1
Synthetic Instance Segmentation from Semantic Image Segmentation MasksCode1
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image SegmentationCode1
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain AdaptationCode1
Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real WorldCode1
DSU-Net:An Improved U-Net Model Based on DINOv2 and SAM2 with Multi-scale Cross-model Feature EnhancementCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic SegmentationCode1
TransCL: Transformer Makes Strong and Flexible Compressive LearningCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity TrainingCode1
Bounding Box Tightness Prior for Weakly Supervised Image SegmentationCode1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic SegmentationCode1
Exploiting Temporal State Space Sharing for Video Semantic SegmentationCode1
Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-High-Resolution Remote Sensing ImageryCode1
Transformer Assisted Convolutional Network for Cell Instance SegmentationCode1
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action DetectionCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D 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