SOTAVerified

Semantic Segmentation

Papers

Showing 501525 of 14763 papers

TitleStatusHype
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification0
Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates0
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation0
STPNet: Scale-aware Text Prompt Network for Medical Image SegmentationCode1
Beyond Nearest Neighbor Interpolation in Data Augmentation0
Multimodal Point Cloud Semantic Segmentation With Virtual Point Enhancement0
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology0
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks0
Scene-Centric Unsupervised Panoptic SegmentationCode2
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-TrainingCode0
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation0
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions0
v-CLR: View-Consistent Learning for Open-World Instance SegmentationCode1
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists0
Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image SegmentationCode1
CamoSAM2: Motion-Appearance Induced Auto-Refining Prompts for Video Camouflaged Object Detection0
Zero-Shot 4D Lidar Panoptic Segmentation0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
4th PVUW MeViS 3rd Place Report: Sa2VACode5
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety0
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater ImagesCode0
CrossFormer: Cross-Segment Semantic Fusion for Document Segmentation0
Semantic Packet Aggregation and Repeated Transmission for Text-to-Image Generation0
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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