SOTAVerified

Segmentation

Papers

Showing 28262850 of 13072 papers

TitleStatusHype
Fully Attentional Network for Semantic SegmentationCode1
CoReS: Orchestrating the Dance of Reasoning and SegmentationCode1
Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR SequencesCode1
Mask-aware IoU for Anchor Assignment in Real-time Instance SegmentationCode1
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance ImagingCode1
Fully Convolutional Networks for Panoptic Segmentation with Point-based SupervisionCode1
Continual atlas-based segmentation of prostate MRICode1
1st Place Solution for 5th LSVOS Challenge: Referring Video Object SegmentationCode1
Masked Diffusion as Self-supervised Representation LearnerCode1
Continual Learning for Abdominal Multi-Organ and Tumor SegmentationCode1
Boundary-Enhanced Co-Training for Weakly Supervised Semantic SegmentationCode1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point CloudsCode1
Boundary Difference Over Union Loss For Medical Image SegmentationCode1
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation TasksCode1
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural NetworksCode1
MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance SegmentationCode1
ContrastMask: Contrastive Learning to Segment Every ThingCode1
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene SegmentationCode1
Continuous Conditional Random Field Convolution for Point Cloud SegmentationCode1
Continuous Copy-Paste for One-Stage Multi-Object Tracking and SegmentationCode1
GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing DataCode1
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image SegmentationCode1
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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