SOTAVerified

Segmentation

Papers

Showing 101150 of 13072 papers

TitleStatusHype
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image SegmentationCode3
VISA: Reasoning Video Object Segmentation via Large Language ModelsCode3
Nuclei instance segmentation and classification in histopathology images with StarDistCode3
nnInteractive: Redefining 3D Promptable SegmentationCode3
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools SegmentationCode3
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
Moving Object Segmentation: All You Need Is SAM (and Flow)Code3
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image SegmentationCode3
Emergence of Segmentation with Minimalistic White-Box TransformersCode3
A Simple Framework for Open-Vocabulary Segmentation and DetectionCode3
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentationCode3
Interactive Medical Image Segmentation: A Benchmark Dataset and BaselineCode3
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text SegmentationCode3
CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic SegmentationCode3
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything ModelCode3
MA-Net: A Multi-Scale Attention Network for Liver and Tumor SegmentationCode3
OneFormer: One Transformer to Rule Universal Image SegmentationCode3
SAM3D: Segment Anything in 3D ScenesCode3
Tracking Anything with Decoupled Video SegmentationCode3
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
Fully Convolutional Instance-aware Semantic SegmentationCode2
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor SynthesisCode2
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic SegmentationCode2
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
FOCUS: Towards Universal Foreground SegmentationCode2
Focal Modulation NetworksCode2
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-trainCode2
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
A large annotated medical image dataset for the development and evaluation of segmentation algorithmsCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
FreeSOLO: Learning to Segment Objects without AnnotationsCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
Find Any Part in 3DCode2
AgileFormer: Spatially Agile Transformer UNet for Medical Image SegmentationCode2
FEC: Fast Euclidean Clustering for Point Cloud SegmentationCode2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object SegmentationCode2
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
FastInst: A Simple Query-Based Model for Real-Time Instance SegmentationCode2
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRICode2
A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT imagesCode2
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action SegmentationCode2
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation FrameworkCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
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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