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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 241–250 of 359 papers

Title	Date	Tasks	Status	Hype	Score
Advanced Fully Convolutional Networks for Agricultural Field Boundary Detection	Feb 16, 2021	Boundary Detection	—Unverified	0	0
A Graphical Citation Browser for the ACL Anthology	May 1, 2012	Boundary DetectionPart-Of-Speech Tagging	—Unverified	0	0
A Holistic Approach to Bilingual Sentence Fragment Extraction from Comparable Corpora	May 1, 2012	Boundary DetectionMachine Translation	—Unverified	0	0
aiai at FinSBD task: Sentence Boundary Detection in Noisy Texts From Financial Documents Using Deep Attention Model	Aug 1, 2019	Boundary DetectionDeep Attention	—Unverified	0	0
aiai at the FinSBD-2 Task: Sentence, list and Item Boundary Detection and Items classification of Financial Texts Using Data Augmentation and Attention	Jan 1, 2020	Boundary DetectionData Augmentation	—Unverified	0	0
AI\_Blues at FinSBD Shared Task: CRF-based Sentence Boundary Detection in PDF Noisy Text in the Financial Domain	Aug 1, 2019	Boundary DetectionSentence	—Unverified	0	0
AIG Investments.AI at the FinSBD Task: Sentence Boundary Detection through Sequence Labelling and BERT Fine-tuning	Aug 1, 2019	Boundary DetectionSentence	—Unverified	0	0
Algorithm Design for Online Meta-Learning with Task Boundary Detection	Feb 2, 2023	Boundary DetectionMeta-Learning	—Unverified	0	0
A Locally Adapting Technique for Boundary Detection using Image Segmentation	Jul 27, 2017	Boundary DetectionImage Segmentation	—Unverified	0	0
A Mandarin-English Code-Switching Corpus	May 1, 2012	Boundary DetectionLanguage Identification	—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