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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 121–130 of 359 papers

Title	Date	Tasks	Status	Hype
Automatic recognition of element classes and boundaries in the birdsong with variable sequences	Jan 23, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Analyzing Impact, Trend, and Diffusion of Knowledge associated with Neoplasms Research	Dec 1, 2016	Boundary Detectionnamed-entity-recognition	—Unverified	0
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection	Apr 1, 2017	Boundary DetectionEntity Extraction using GAN	—Unverified	0
Boundary Detection Benchmarking: Beyond F-Measures	Jun 1, 2013	BenchmarkingBoundary Detection	—Unverified	0
EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model	Dec 5, 2023	Boundary DetectionLanguage Modeling	—Unverified	0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts	Oct 1, 2017	Automatic Speech Recognition (ASR)Boundary Detection	—Unverified	0
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps	Nov 11, 2021	Autonomous DrivingBoundary Detection	—Unverified	0
Automatic lesion boundary detection in dermoscopy	Nov 23, 2018	Boundary DetectionSegmentation	—Unverified	0
Flat Multi-modal Interaction Transformer for Named Entity Recognition	Aug 23, 2022	Boundary DetectionMulti-modal Named Entity Recognition	—Unverified	0
Foundations and Evaluations in NLP	Apr 2, 2025	Boundary DetectionDependency Parsing	—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