SOTAVerified

Segmentation

Papers

Showing 101125 of 13072 papers

TitleStatusHype
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
Moving Object Segmentation: All You Need Is SAM (and Flow)Code3
MA-Net: A Multi-Scale Attention Network for Liver and Tumor SegmentationCode3
A Simple Framework for Open-Vocabulary Segmentation and DetectionCode3
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
SMITE: Segment Me In TimECode3
Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous CircleCode3
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything ModelCode3
GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain EstimationCode3
Tracking Anything with Decoupled Video SegmentationCode3
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text SegmentationCode3
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentationCode3
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
VideoCutLER: Surprisingly Simple Unsupervised Video Instance SegmentationCode3
Generalized Decoding for Pixel, Image, and LanguageCode3
CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic SegmentationCode3
Interactive Medical Image Segmentation: A Benchmark Dataset and BaselineCode3
EAFormer: Scene Text Segmentation with Edge-Aware TransformersCode3
nnInteractive: Redefining 3D Promptable SegmentationCode3
SAM-Med2DCode3
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action SegmentationCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
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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