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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 321–330 of 359 papers

Title	Date	Tasks	Status	Hype
Agricultural Field Boundary Detection through Integration of "Simple Non-Iterative Clustering (SNIC) Super Pixels" and "Canny Edge Detection Method"	Feb 6, 2025	Boundary DetectionEdge Detection	CodeCode Available	0
Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)	Jul 1, 2021	Boundary DetectionEvent Segmentation	CodeCode Available	0
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs	Dec 1, 2016	Boundary DetectionFeature Engineering	CodeCode Available	0
Neuro-inspired edge feature fusion using Choquet integrals	Apr 22, 2021	Boundary DetectionEdge Detection	CodeCode Available	0
CS-TRD: a Cross Sections Tree Ring Detection method	May 18, 2023	Boundary Detection	CodeCode Available	0
SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection	Jun 25, 2022	Boundary DetectionDecoder	CodeCode Available	0
WiSeBE: Window-based Sentence Boundary Evaluation	Aug 27, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
The magnitude vector of images	Oct 28, 2021	Boundary DetectionDescriptive	CodeCode Available	0
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation	Sep 30, 2021	Boundary DetectionEvent Segmentation	CodeCode Available	0
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks	Jan 17, 2017	Boundary DetectionContour Detection	CodeCode Available	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