SOTAVerified

Semantic Segmentation

Papers

Showing 651675 of 14763 papers

TitleStatusHype
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
Make-A-Scene: Scene-Based Text-to-Image Generation with Human PriorsCode2
MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space ModelCode2
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
Mask2Former for Video Instance SegmentationCode2
Mask3D: Mask Transformer for 3D Semantic Instance SegmentationCode2
Cross-Image Relational Knowledge Distillation for Semantic SegmentationCode2
Masked-attention Mask Transformer for Universal Image SegmentationCode2
MaskTerial: A Foundation Model for Automated 2D Material Flake DetectionCode2
MaSS13K: A Matting-level Semantic Segmentation BenchmarkCode2
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
Cross Language Image Matching for Weakly Supervised Semantic SegmentationCode2
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded ScenesCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic SegmentationCode2
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual LossCode2
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic SegmentationCode2
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image SegmentationCode2
Co-Occurrent Features in Semantic SegmentationCode2
Adversarial Supervision Makes Layout-to-Image Diffusion Models ThriveCode2
Merging Context Clustering with Visual State Space Models for Medical Image SegmentationCode2
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural NetworksCode2
Coordinate Attention for Efficient Mobile Network DesignCode2
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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