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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 81–90 of 359 papers

Title	Date	Tasks	Status	Hype	Score
A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in Images of Pinus taeda	Aug 26, 2024	Boundary DetectionInstance Segmentation	CodeCode Available	0	5
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs	Dec 1, 2016	Boundary DetectionFeature Engineering	CodeCode Available	0	5
Photo-Sketching: Inferring Contour Drawings from Images	Jan 2, 2019	Boundary DetectionDiversity	CodeCode Available	0	5
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition	Jul 6, 2022	Boundary DetectionChinese Named Entity Recognition	CodeCode Available	0	5
CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks	Mar 25, 2024	Boundary DetectionEdge Detection	CodeCode Available	0	5
CS-TRD: a Cross Sections Tree Ring Detection method	May 18, 2023	Boundary Detection	CodeCode Available	0	5
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation	Oct 14, 2024	Boundary DetectionImage Segmentation	CodeCode Available	0	5
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation	Sep 30, 2021	Boundary DetectionEvent Segmentation	CodeCode Available	0	5
Learning structure-aware semantic segmentation with image-level supervision	Apr 15, 2021	Boundary DetectionCommon Sense Reasoning	CodeCode Available	0	5
Joint RNN Model for Argument Component Boundary Detection	May 5, 2017	Boundary DetectionFeature Engineering	CodeCode Available	0	5

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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