SOTAVerified

Semantic Segmentation

Papers

Showing 20512075 of 14763 papers

TitleStatusHype
Condition-Invariant Semantic SegmentationCode1
Advancing Semantic Future Prediction through Multimodal Visual Sequence TransformersCode1
CondNet: Conditional Classifier for Scene SegmentationCode1
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic SegmentationCode1
Frequency-mixed Single-source Domain Generalization for Medical Image SegmentationCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local EnhancementCode1
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
Anytime Dense Prediction with Confidence AdaptivityCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image SegmentationCode1
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Conditional Object-Centric Learning from VideoCode1
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
Content-Consistent Matching for Domain Adaptive Semantic SegmentationCode1
Conditional Boundary Loss for Semantic SegmentationCode1
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud UnderstandingCode1
Conditional Convolutions for Instance SegmentationCode1
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Fully Sparse Fusion for 3D Object DetectionCode1
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor ScenesCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
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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