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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	Score
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers	Mar 23, 2021	Amodal Instance SegmentationBoundary Detection	CodeCode Available	1	5
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection	Sep 4, 2019	Boundary DetectionEdge Detection	CodeCode Available	1	5
Enhancing Monotonic Multihead Attention for Streaming ASR	May 19, 2020	AllAutomatic Speech Recognition	CodeCode Available	1	5
Federated Learning Enables Big Data for Rare Cancer Boundary Detection	Apr 22, 2022	Boundary DetectionFederated Learning	CodeCode Available	1	5
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation	May 29, 2024	Autonomous DrivingBoundary Detection	CodeCode Available	1	5
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing Images	May 26, 2025	Boundary DetectionChange Detection	CodeCode Available	1	5
Clustering Based on Graph of Density Topology	Sep 24, 2020	Boundary DetectionClustering	CodeCode Available	1	5
Boundary Guided Context Aggregation for Semantic Segmentation	Oct 27, 2021	Boundary DetectionSemantic Segmentation	CodeCode Available	1	5
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines	Aug 24, 2023	AllBoundary Detection	CodeCode Available	1	5
Boundary-assisted Region Proposal Networks for Nucleus Segmentation	Jun 4, 2020	Boundary DetectionInstance Segmentation	CodeCode Available	1	5

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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