SOTAVerified

Segmentation

Papers

Showing 826850 of 13072 papers

TitleStatusHype
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
A Local-to-Global Approach to Multi-modal Movie Scene SegmentationCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETRCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
DEAL: Difficulty-aware Active Learning for Semantic SegmentationCode1
BlendMask: Top-Down Meets Bottom-Up for Instance SegmentationCode1
Boosting Video Object Segmentation via Space-time Correspondence LearningCode1
DifFSS: Diffusion Model for Few-Shot Semantic SegmentationCode1
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAMCode1
Decoupling Zero-Shot Semantic SegmentationCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain TumorCode1
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided EnhancementCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Active Boundary Loss for Semantic SegmentationCode1
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge BaselineCode1
Amodal Ground Truth and Completion in the WildCode1
Automated segmentation and morphological characterization of placental histology images based on a single labeled imageCode1
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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