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 151–175 of 359 papers

TitleStatusHype
GREYC@FinTOC-2022: Handling Document Layout and Structure in Native PDF Bundle of Documents—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision—0
High-Frequency guided Curriculum Learning for Class-specific Object Boundary Detection—0
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss—0
A Transformer Model for Boundary Detection in Continuous Sign Language—0
HITS-SBD at the FinSBD Task: Machine Learning vs. Rule-based Sentence Boundary Detection—0
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection—0
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images—0
GigaCheck: Detecting LLM-generated Content—0
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents—0
ICDAR 2021 Competition on Components Segmentation Task of Document Photos—0
Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification—0
Improving action segmentation via explicit similarity measurement—0
Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur \& Antiqua Models and Image Preprocessing—0
Improving Sentence Boundary Detection for Spoken Language Transcripts—0
Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text—0
Interior point search for nonparametric image segmentation—0
CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification—0
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss—0
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection—0
A Locally Adapting Technique for Boundary Detection using Image Segmentation—0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts—0
Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation—0
A Divide-and-Conquer Approach to Geometric Sampling for Active Learning—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