SOTAVerified

Semantic Segmentation

Papers

Showing 461470 of 14763 papers

TitleStatusHype
UniPAD: A Universal Pre-training Paradigm for Autonomous DrivingCode2
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet PerformanceCode2
RMT: Retentive Networks Meet Vision TransformersCode2
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise OptimizationCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg CodebaseCode2
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
RevColV2: Exploring Disentangled Representations in Masked Image ModelingCode2
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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