SOTAVerified

Semantic Segmentation

Papers

Showing 901950 of 14763 papers

TitleStatusHype
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Cross-view Transformers for real-time Map-view Semantic SegmentationCode1
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortCode1
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic SegmentationCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
Cross-Modal Progressive Comprehension for Referring SegmentationCode1
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image SegmentationCode1
Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image SegmentationCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
Decomposing 3D Scenes into Objects via Unsupervised Volume SegmentationCode1
Decoupled Dynamic Filter NetworksCode1
A Multi-Level Approach to Waste Object SegmentationCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
Crossover Learning for Fast Online Video Instance SegmentationCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
Deep Active Learning for Axon-Myelin Segmentation on Histology DataCode1
Active learning for medical image segmentation with stochastic batchesCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
Deep Fusion of Local and Non-Local Features for Precision Landslide RecognitionCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and BeyondCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic ImagesCode1
Deep Label Distribution Learning with Label AmbiguityCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
Deep learning approach to left ventricular non-compaction measurementCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing FlowsCode1
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation ModelsCode1
DeepMIM: Deep Supervision for Masked Image ModelingCode1
All you need are a few pixels: semantic segmentation with PixelPickCode1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
Deep Projective 3D Semantic SegmentationCode1
DeepSatData: Building large scale datasets of satellite images for training machine learning modelsCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised 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