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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 131–140 of 359 papers

Title	Date	Tasks	Status	Hype
Automatic construction of complex features in Conditional Random Fields for Named Entities Recognition	Sep 1, 2015	Boundary DetectionNamed Entity Recognition (NER)	—Unverified	0
Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization	Feb 27, 2020	Boundary Detection	—Unverified	0
A Locally Adapting Technique for Boundary Detection using Image Segmentation	Jul 27, 2017	Boundary DetectionImage Segmentation	—Unverified	0
Coordination Boundary Identification with Similarity and Replaceability	Nov 1, 2017	Boundary Detection	—Unverified	0
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN	Aug 17, 2023	Boundary DetectionInstance Segmentation	—Unverified	0
A Mandarin-English Code-Switching Corpus	May 1, 2012	Boundary DetectionLanguage Identification	—Unverified	0
A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing	Sep 12, 2016	Boundary Detection	—Unverified	0
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy	Apr 29, 2019	Boundary Detection	—Unverified	0
Controlling Utterance Length in NMT-based Word Segmentation with Attention	Oct 18, 2019	Boundary DetectionMachine Translation	—Unverified	0
Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development	Jan 1, 2018	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