SOTAVerified

Segmentation

Papers

Showing 14761500 of 13072 papers

TitleStatusHype
Improving Sketch Colorization using Adversarial Segmentation ConsistencyCode1
Hybrid Open-set Segmentation with Synthetic Negative DataCode1
Active learning for medical image segmentation with stochastic batchesCode1
Semi-Supervised Semantic Segmentation via Gentle Teaching AssistantCode1
Multi Kernel Positional Embedding ConvNeXt for Polyp SegmentationCode1
Hematoxylin and eosin stained oral squamous cell carcinoma histological images datasetCode1
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image SegmentationCode1
Adaptive Context Selection for Polyp SegmentationCode1
Lesion-aware Dynamic Kernel for Polyp SegmentationCode1
Open-vocabulary Object Segmentation with Diffusion ModelsCode1
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image SegmentationCode1
Head-Free Lightweight Semantic Segmentation with Linear TransformerCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution AttentionCode1
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challengeCode1
TarViS: A Unified Approach for Target-based Video SegmentationCode1
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part SegmentationCode1
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisCode1
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance SegmentationCode1
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data SetsCode1
PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-Modal Distillation and Super-Voxel ClusteringCode1
PartDistillation: Learning Parts From Instance SegmentationCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Disentangle then Parse: Night-time Semantic Segmentation with Illumination DisentanglementCode1
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous DrivingCode1
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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