SOTAVerified

Segmentation

Papers

Showing 276300 of 13072 papers

TitleStatusHype
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action SegmentationCode2
FastInst: A Simple Query-Based Model for Real-Time Instance SegmentationCode2
3D Face Reconstruction with the Geometric Guidance of Facial Part SegmentationCode2
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
Find Any Part in 3DCode2
Adapter is All You Need for Tuning Visual TasksCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure SegmentationCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
Dilated Neighborhood Attention TransformerCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionCode2
Segment anything model 2: an application to 2D and 3D medical imagesCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified