SOTAVerified

Segmentation

Papers

Showing 16511700 of 13072 papers

TitleStatusHype
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud SegmentationCode1
Lite Vision Transformer with Enhanced Self-AttentionCode1
CANet: Context Aware Network for 3D Brain Glioma SegmentationCode1
Automatic High Resolution Wire Segmentation and RemovalCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Development of accurate human head models for personalized electromagnetic dosimetry using deep learningCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
Automatic labelling of urban point clouds using data fusionCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Differentiable Soft-Masked AttentionCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
DifFSS: Diffusion Model for Few-Shot Semantic SegmentationCode1
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in HistopathologyCode1
Camouflaged Object Segmentation with Distraction MiningCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT ImagesCode1
FoodSAM: Any Food SegmentationCode1
Diffusion-based Data Augmentation for Nuclei Image SegmentationCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal ReasoningCode1
Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics AnnotationsCode1
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp SegmentationCode1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
FocSAM: Delving Deeply into Focused Objects in Segmenting AnythingCode1
FocusCut: Diving Into a Focus View in Interactive SegmentationCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain TumorCode1
Automatic Polyp Segmentation via Multi-scale Subtraction NetworkCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the LunarCode1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous DrivingCode1
Active Boundary Loss for Semantic SegmentationCode1
Disentangle then Parse:Night-time Semantic Segmentation with Illumination DisentanglementCode1
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge BaselineCode1
Disentangling Human Error from Ground Truth in Segmentation of Medical ImagesCode1
Amodal Ground Truth and Completion in the WildCode1
Medical Image Segmentation via Unsupervised Convolutional Neural NetworkCode1
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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