SOTAVerified

Semantic Segmentation

Papers

Showing 37013750 of 14763 papers

TitleStatusHype
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
Multi-Grained Contrast for Data-Efficient Unsupervised Representation LearningCode1
LVOS: A Benchmark for Long-term Video Object SegmentationCode1
DeiSAM: Segment Anything with Deictic PromptingCode1
DeiT III: Revenge of the ViTCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence LearningCode1
Differentiable Soft-Masked AttentionCode1
Vector Quantized Bayesian Neural Network Inference for Data StreamsCode1
DIDFuse: Deep Image Decomposition for Infrared and Visible Image FusionCode1
Möbius Convolutions for Spherical CNNsCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object SegmentationCode1
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
M3D-NCA: Robust 3D Segmentation with Built-in Quality ControlCode1
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationCode1
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode1
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point CloudsCode1
On the Connection between Local Attention and Dynamic Depth-wise ConvolutionCode1
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation SegmentationCode1
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain AdaptationCode1
Modality-aware Mutual Learning for Multi-modal Medical Image SegmentationCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
Make One-Shot Video Object Segmentation Efficient AgainCode1
Making a Case for 3D Convolutions for Object Segmentation in VideosCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene ParsingCode1
DSU-Net:An Improved U-Net Model Based on DINOv2 and SAM2 with Multi-scale Cross-model Feature EnhancementCode1
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationCode1
The Edge of Depth: Explicit Constraints between Segmentation and DepthCode1
Extract Free Dense Labels from CLIPCode1
2D Semantic-Guided Semantic Scene CompletionCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot SegmentationCode1
MobileViG: Graph-Based Sparse Attention for Mobile Vision ApplicationsCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
Manifold Alignment for Semantically Aligned Style TransferCode1
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image SegmentationCode1
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method 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