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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
Boundary Loss for Remote Sensing Imagery Semantic Segmentation	May 20, 2019	Boundary DetectionImage Segmentation	CodeCode Available	0
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy	Apr 29, 2019	Boundary Detection	—Unverified	0
Lumen boundary detection using neutrosophic c-means in IVOCT images	Feb 9, 2019	Boundary Detection	—Unverified	0
Photo-Sketching: Inferring Contour Drawings from Images	Jan 2, 2019	Boundary DetectionDiversity	CodeCode Available	0
Lattice Identification and Separation: Theory and Algorithm	Dec 19, 2018	Boundary Detection	—Unverified	0
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors	Dec 1, 2018	Boundary DetectionChange Point Detection	—Unverified	0
Automatic lesion boundary detection in dermoscopy	Nov 23, 2018	Boundary DetectionSegmentation	—Unverified	0
Video searching and fingerprint detection by using the image query and PlaceNet-based shot boundary detection method	Sep 26, 2018	Boundary Detection	—Unverified	0
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection	Sep 1, 2018	Boundary DetectionLane Detection	—Unverified	0
Using Semantics for Granularities of Tokenization	Sep 1, 2018	Boundary DetectionInformation Retrieval	—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