SOTAVerified

Segmentation

Papers

Showing 18011825 of 13072 papers

TitleStatusHype
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge BaselineCode1
PanopticDepth: A Unified Framework for Depth-aware Panoptic SegmentationCode1
Differentiable Soft-Masked AttentionCode1
PaGO-LOAM: Robust Ground-Optimized LiDAR OdometryCode1
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion SegmentationCode1
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View SegmentationCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
SemAffiNet: Semantic-Affine Transformation for Point Cloud SegmentationCode1
Deep Gradient Learning for Efficient Camouflaged Object DetectionCode1
UniInst: Unique Representation for End-to-End Instance SegmentationCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic SegmentationCode1
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
Transformer based multiple instance learning for weakly supervised histopathology image segmentationCode1
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel AggregationCode1
Unsupervised Segmentation in Real-World Images via Spelke Object InferenceCode1
Test-Time Adaptation with Shape Moments for Image SegmentationCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble AnnotationsCode1
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology ImagesCode1
Delving into High-Quality Synthetic Face Occlusion Segmentation DatasetsCode1
Learning Non-target Knowledge for Few-shot Semantic 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