SOTAVerified

Segmentation

Papers

Showing 201210 of 13072 papers

TitleStatusHype
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic SegmentationCode2
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary SegmentationCode2
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
Segment anything model 2: an application to 2D and 3D medical imagesCode2
MSA^2Net: Multi-scale Adaptive Attention-guided Network for Medical Image SegmentationCode2
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation FrameworkCode2
RefMask3D: Language-Guided Transformer for 3D Referring SegmentationCode2
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
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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