SOTAVerified

Semantic Segmentation

Papers

Showing 18511875 of 14763 papers

TitleStatusHype
Instance Segmentation in the DarkCode1
GazeSAM: What You See is What You SegmentCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
SDSC-UNet: Dual Skip Connection ViT-based U-shaped Model for Building ExtractionCode1
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysisCode1
AutoFocusFormer: Image Segmentation off the GridCode1
Fully Sparse Fusion for 3D Object DetectionCode1
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision TransformerCode1
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic SegmentationCode1
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic SegmentationCode1
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic SegmentationCode1
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation ModelCode1
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial TrainingCode1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image SegmentationCode1
Advances in Deep Concealed Scene UnderstandingCode1
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic SegmentationCode1
Segment Anything Model for Medical Image Analysis: an Experimental StudyCode1
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation ModelsCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
Learnable Earth Parser: Discovering 3D Prototypes in Aerial ScansCode1
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic SegmentationCode1
PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel ClusteringCode1
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal LearningCode1
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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