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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 101–110 of 359 papers

Title	Date	Tasks	Status	Hype
Flat Multi-modal Interaction Transformer for Named Entity Recognition	Aug 23, 2022	Boundary DetectionMulti-modal Named Entity Recognition	—Unverified	0
Traditional methods in Edge, Corner and Boundary detection	Aug 12, 2022	Autonomous VehiclesBoundary Detection	—Unverified	0
A Non-Anatomical Graph Structure for isolated hand gesture separation in continuous gesture sequences	Jul 15, 2022	Boundary DetectionGesture Recognition	—Unverified	0
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition	Jul 6, 2022	Boundary DetectionChinese Named Entity Recognition	CodeCode Available	0
CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification	Jul 1, 2022	Boundary Detectionnamed-entity-recognition	—Unverified	0
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach	Jun 30, 2022	Boundary DetectionGeneric Event Boundary Detection	CodeCode Available	0
SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection	Jun 25, 2022	Boundary DetectionDecoder	CodeCode Available	0
Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge	Jun 17, 2022	Boundary DetectionGeneric Event Boundary Detection	CodeCode Available	1
On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation	Jun 8, 2022	Boundary Detection	—Unverified	0
Structured Context Transformer for Generic Event Boundary Detection	Jun 7, 2022	Boundary DetectionGeneric Event Boundary Detection	—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