SOTAVerified

Boundary Detection

Boundary Detection is a vital part of extracting information encoded in images, allowing for the computation of quantities of interest including density, velocity, pressure, etc.

Source: A Locally Adapting Technique for Boundary Detection using Image Segmentation

Papers

Showing 126–150 of 359 papers

TitleStatusHype
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts—0
Automatic lesion boundary detection in dermoscopy—0
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents—0
Automatic construction of complex features in Conditional Random Fields for Named Entities Recognition—0
Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization—0
A Locally Adapting Technique for Boundary Detection using Image Segmentation—0
Coordination Boundary Identification with Similarity and Replaceability—0
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN—0
A Mandarin-English Code-Switching Corpus—0
A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing—0
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development—0
Contour Detection and Characterization for Asynchronous Event Sensors—0
Continual Learning with Fully Probabilistic Models—0
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy—0
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection—0
ICDAR 2021 Competition on Components Segmentation Task of Document Photos—0
CONJR: Conjunctive Sentence Splitter without Parsing—0
Composite Learning for Robust and Effective Dense Predictions—0
Algorithm Design for Online Meta-Learning with Task Boundary Detection—0
Comparative Analysis of Deep Learning Architectures for Breast Region Segmentation with a Novel Breast Boundary Proposal—0
Combining Global Models for Parsing Universal Dependencies—0
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation—0
A Comparative Study of Minimally Supervised Morphological Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)64.63—Unverified
2RoBERTa + SEPAccuracy (%)49.64—Unverified
3PHD + TS MLAccuracy (%)23.5—Unverified
4TLE + TS BinaryAccuracy (%)12.58—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)67.65—Unverified
2RoBERTa + SEPAccuracy (%)54.61—Unverified
3TLE + TS BinaryAccuracy (%)20.02—Unverified
4PHD + TS MLAccuracy (%)17.29—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (Mistral-7B-v0.3)Cohen’s Kappa score0.42—Unverified
2DeBERTa-v3 (Naive)Cohen’s Kappa score0.4—Unverified
3GigaCheck (DN-DAB-DETR)Cohen’s Kappa score0.19—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF78.1—Unverified
2PGT (Swin-S)odsF78.04—Unverified
3PGT (Swin-T)odsF77.05—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)F1@30.65—Unverified
2TriBERT (p=2)F1@30.58—Unverified
#ModelMetricClaimedVerifiedStatus
1CS-TRDAverage Precision0.94—Unverified
2INBDAverage Precision0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1CASTANET+ EnsemblePairwise F10.81—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF73—Unverified