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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 11–20 of 359 papers

Title	Date	Tasks	Status	Hype
A Multi-Task Deep Learning Framework for Building Footprint Segmentation	Apr 19, 2021	Boundary DetectionDeep Learning	CodeCode Available	1
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection	Sep 4, 2019	Boundary DetectionEdge Detection	CodeCode Available	1
Enhancing Monotonic Multihead Attention for Streaming ASR	May 19, 2020	AllAutomatic Speech Recognition	CodeCode Available	1
Federated Learning Enables Big Data for Rare Cancer Boundary Detection	Apr 22, 2022	Boundary DetectionFederated Learning	CodeCode Available	1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation	May 29, 2024	Autonomous DrivingBoundary Detection	CodeCode Available	1
Clustering Based on Graph of Density Topology	Sep 24, 2020	Boundary DetectionClustering	CodeCode Available	1
Deeply supervised salient object detection with short connections	Nov 15, 2016	Boundary DetectionObject	CodeCode Available	1
Boundary Guided Context Aggregation for Semantic Segmentation	Oct 27, 2021	Boundary DetectionSemantic Segmentation	CodeCode Available	1
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines	Aug 24, 2023	AllBoundary Detection	CodeCode Available	1
Boundary-assisted Region Proposal Networks for Nucleus Segmentation	Jun 4, 2020	Boundary DetectionInstance Segmentation	CodeCode Available	1

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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