SOTAVerified

Semantic Segmentation

Papers

Showing 39513975 of 14763 papers

TitleStatusHype
An End-to-End Computer Vision Methodology for Quantitative MetallographyCode1
Unifying Nonlocal Blocks for Neural NetworksCode1
Bounding Box Tightness Prior for Weakly Supervised Image SegmentationCode1
Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking ApplicationsCode1
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
Exploring Long-Sequence Masked AutoencodersCode1
Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image SegmentationCode1
Union-set Multi-source Model Adaptation for Semantic SegmentationCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic SegmentationCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationCode1
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAMCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image SegmentationCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Exploring Cross-Image Pixel Contrast for Semantic SegmentationCode1
Exploring Effective Factors for Improving Visual In-Context LearningCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic SegmentationCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
Exploring Event-driven Dynamic Context for Accident Scene SegmentationCode1
Unleashing the Power of Prompt-driven Nucleus Instance SegmentationCode1
Explore the Potential of CLIP for Training-Free Open Vocabulary 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
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