SOTAVerified

Segmentation

Papers

Showing 26012625 of 13072 papers

TitleStatusHype
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Learning with Weak Annotations for Robust Maritime Obstacle DetectionCode1
Lesion-aware Dynamic Kernel for Polyp SegmentationCode1
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance SegmentationCode1
ASFormer: Transformer for Action SegmentationCode1
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
Color Invariant Skin SegmentationCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image SegmentationCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ SegmentationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image SegmentationCode1
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
BoxSnake: Polygonal Instance Segmentation with Box SupervisionCode1
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachCode1
Lidar Panoptic Segmentation and Tracking without Bells and WhistlesCode1
Lightweight and Progressively-Scalable Networks for Semantic SegmentationCode1
Dense Gaussian Processes for Few-Shot SegmentationCode1
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image SegmentationCode1
BoxShrink: From Bounding Boxes to Segmentation MasksCode1
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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