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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 341–350 of 359 papers

Title	Date	Tasks	Status	Hype	Score
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection	Aug 1, 2021	AttributeBoundary Detection	—Unverified	0	0
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents	Aug 1, 2016	Automatic Speech Recognition (ASR)Boundary Detection	—Unverified	0	0
ICDAR 2021 Competition on Components Segmentation Task of Document Photos	Jun 16, 2021	Boundary DetectionSegmentation	—Unverified	0	0
Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification	Jan 4, 2022	Boundary DetectionSegmentation	—Unverified	0	0
Improving action segmentation via explicit similarity measurement	Feb 15, 2025	Action SegmentationBoundary Detection	—Unverified	0	0
Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur \& Antiqua Models and Image Preprocessing	May 1, 2017	Boundary DetectionInformation Retrieval	—Unverified	0	0
Improving Sentence Boundary Detection for Spoken Language Transcripts	May 1, 2020	Boundary DetectionSentence	—Unverified	0	0
Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text	Feb 27, 2020	Boundary DetectionChinese Word Segmentation	—Unverified	0	0
Interior point search for nonparametric image segmentation	Jun 11, 2021	Boundary DetectionImage Segmentation	—Unverified	0	0
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts	Apr 16, 2020	Boundary DetectionEdge Detection	—Unverified	0	0

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All datasets RoFT RoFT-chatgpt CoAuthor NYU-Depth V2 TriBERT (in-domain)UruDendro Kinetics 400 PASCAL Context

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GigaCheck (DN-DAB-DETR)	Accuracy (%)	64.63	—	Unverified
2	RoBERTa + SEP	Accuracy (%)	49.64	—	Unverified
3	PHD + TS ML	Accuracy (%)	23.5	—	Unverified
4	TLE + TS Binary	Accuracy (%)	12.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GigaCheck (DN-DAB-DETR)	Accuracy (%)	67.65	—	Unverified
2	RoBERTa + SEP	Accuracy (%)	54.61	—	Unverified
3	TLE + TS Binary	Accuracy (%)	20.02	—	Unverified
4	PHD + TS ML	Accuracy (%)	17.29	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GigaCheck (Mistral-7B-v0.3)	Cohen’s Kappa score	0.42	—	Unverified
2	DeBERTa-v3 (Naive)	Cohen’s Kappa score	0.4	—	Unverified
3	GigaCheck (DN-DAB-DETR)	Cohen’s Kappa score	0.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InvPT	odsF	78.1	—	Unverified
2	PGT (Swin-S)	odsF	78.04	—	Unverified
3	PGT (Swin-T)	odsF	77.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GigaCheck (DN-DAB-DETR)	F1@3	0.65	—	Unverified
2	TriBERT (p=2)	F1@3	0.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CS-TRD	Average Precision	0.94	—	Unverified
2	INBD	Average Precision	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CASTANET+ Ensemble	Pairwise F1	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InvPT	odsF	73	—	Unverified