SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2976–3000 of 13072 papers

TitleStatusHype
Advanced Image Segmentation Techniques for Neural Activity Detection via C-fos Immediate Early Gene Expression—0
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework—0
SAM-guided Graph Cut for 3D Instance Segmentation—0
Automated Behavioral Analysis Using Instance SegmentationCode0
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor—0
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation—0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical ImageCode2
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation—0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation—0
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation—0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
Interfacing Foundation Models' EmbeddingsCode1
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment—0
SqueezeSAM: User friendly mobile interactive segmentation—0
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation—0
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
A dynamic interactive learning framework for automated 3D medical image segmentation—0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection—0
Flexible visual prompts for in-context learning in computer visionCode0
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency RegularizationCode1
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

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