SOTAVerified

Segmentation

Papers

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Showing 2276–2300 of 13072 papers

TitleStatusHype
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything ModelCode3
The revenge of BiSeNet: Efficient Multi-Task Image Segmentation—0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation—0
Improved Object-Based Style Transfer with Single Deep Network—0
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies—0
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies—0
Adaptive Patching for High-resolution Image Segmentation with Transformers—0
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights—0
Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and SegmentationCode0
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image SegmentationCode2
Labeled Morphological Segmentation with Semi-Markov Models—0
LLM-Seg: Bridging Image Segmentation and Large Language Model ReasoningCode2
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy—0
Adapting the Segment Anything Model During Usage in Novel Situations—0
A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical ImagesCode0
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context UnderstandingCode0
Pathological Primitive Segmentation Based on Visual Foundation Model with Zero-Shot Mask GenerationCode0
COCONut: Modernizing COCO Segmentation—0
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic SegmentationCode2
FashionFail: Addressing Failure Cases in Fashion Object Detection and SegmentationCode1
LaSagnA: Language-based Segmentation Assistant for Complex QueriesCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification—0
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground UtilitiesCode1
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified