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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 151–160 of 359 papers

Title	Date	Tasks	Status	Hype
GREYC@FinTOC-2022: Handling Document Layout and Structure in Native PDF Bundle of Documents	Jun 1, 2022	Boundary Detection	—Unverified	0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution	Jan 1, 2021	Boundary DetectionImage Segmentation	—Unverified	0
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision	Apr 23, 2015	Boundary DetectionObject	—Unverified	0
High-Frequency guided Curriculum Learning for Class-specific Object Boundary Detection	Sep 25, 2019	Boundary DetectionObject	—Unverified	0
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss	Nov 4, 2022	Boundary DetectionImage Segmentation	—Unverified	0
A Transformer Model for Boundary Detection in Continuous Sign Language	Feb 22, 2024	Boundary DetectionSign Language Recognition	—Unverified	0
HITS-SBD at the FinSBD Task: Machine Learning vs. Rule-based Sentence Boundary Detection	Aug 1, 2019	BIG-bench Machine LearningBoundary Detection	—Unverified	0
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
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images	Apr 5, 2021	Boundary DetectionImage Segmentation	—Unverified	0
GigaCheck: Detecting LLM-generated Content	Oct 31, 2024	Binary text classificationBoundary Detection	—Unverified	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