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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 281–290 of 359 papers

Title	Date	Tasks	Status	Hype
Deep Voice: Real-time Neural Text-to-Speech	Feb 25, 2017	Audio SynthesisBoundary Detection	CodeCode Available	0
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks	Jan 17, 2017	Boundary DetectionContour Detection	CodeCode Available	0
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks	Dec 22, 2016	Boundary DetectionEdge Detection	—Unverified	0
Entity Identification as Multitasking	Dec 8, 2016	Boundary DetectionType prediction	CodeCode Available	0
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection	Dec 5, 2016	Boundary DetectionDecoder	CodeCode Available	0
Detecting Sentence Boundaries in Sanskrit Texts	Dec 1, 2016	Boundary DetectionSentence	—Unverified	0
A Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging	Dec 1, 2016	Boundary DetectionMachine Translation	—Unverified	0
Understanding Medical free text: A Terminology driven approach	Dec 1, 2016	Boundary Detection	—Unverified	0
Analyzing Impact, Trend, and Diffusion of Knowledge associated with Neoplasms Research	Dec 1, 2016	Boundary Detectionnamed-entity-recognition	—Unverified	0
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs	Dec 1, 2016	Boundary DetectionFeature Engineering	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