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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
The magnitude vector of images	Oct 28, 2021	Boundary DetectionDescriptive	CodeCode Available	0
Boundary Guided Context Aggregation for Semantic Segmentation	Oct 27, 2021	Boundary DetectionSemantic Segmentation	CodeCode Available	1
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos	Oct 18, 2021	Boundary Detection	—Unverified	0
Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding	Oct 5, 2021	Boundary DetectionRepresentation Learning	—Unverified	0
Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection	Oct 5, 2021	Audio TaggingBoundary Detection	CodeCode Available	1
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation	Sep 30, 2021	Boundary DetectionEvent Segmentation	CodeCode Available	0
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition	Sep 3, 2021	Boundary Detectionnamed-entity-recognition	—Unverified	0
Shot boundary detection method based on a new extensive dataset and mixed features	Sep 2, 2021	Boundary DetectionChange Detection	—Unverified	0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset	Aug 26, 2021	Boundary DetectionInstance Segmentation	CodeCode Available	0
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation	Aug 5, 2021	Boundary DetectionSegmentation	—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