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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 181–190 of 359 papers

Title	Date	Tasks	Status	Hype
The Oxford Road Boundaries Dataset	Jun 16, 2021	Boundary Detection	—Unverified	0
ICDAR 2021 Competition on Components Segmentation Task of Document Photos	Jun 16, 2021	Boundary DetectionSegmentation	—Unverified	0
Interior point search for nonparametric image segmentation	Jun 11, 2021	Boundary DetectionImage Segmentation	—Unverified	0
Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection	Jun 1, 2021	BIG-bench Machine LearningBoundary Detection	—Unverified	0
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks	May 18, 2021	Boundary DetectionDecoder	CodeCode Available	0
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection	Apr 28, 2021	Boundary DetectionContrastive Learning	—Unverified	0
Neuro-inspired edge feature fusion using Choquet integrals	Apr 22, 2021	Boundary DetectionEdge Detection	CodeCode Available	0
Continual Learning with Fully Probabilistic Models	Apr 19, 2021	Boundary Detectionclass-incremental learning	—Unverified	0
Learning structure-aware semantic segmentation with image-level supervision	Apr 15, 2021	Boundary DetectionCommon Sense Reasoning	CodeCode Available	0
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images	Apr 5, 2021	Boundary DetectionImage Segmentation	—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