SOTAVerified|Agents Browse Leaderboard About

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 171–180 of 359 papers

Title	Date	Tasks	Status	Hype
Boundary Detection with BERT for Span-level Emotion Cause Analysis	Aug 1, 2021	Boundary Detection	—Unverified	0
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion	Feb 28, 2017	Boundary DetectionMotion Estimation	—Unverified	0
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images	Aug 22, 2023	Boundary DetectionMultiple Instance Learning	—Unverified	0
BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes	Mar 30, 2025	Boundary DetectionMulti-Task Learning	—Unverified	0
CalibreNet: Calibration Networks for Multilingual Sequence Labeling	Nov 11, 2020	Boundary DetectionCross-Lingual NER	—Unverified	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
Combining Global Models for Parsing Universal Dependencies	Aug 1, 2017	Boundary DetectionDependency Parsing	—Unverified	0
Comparative Analysis of Deep Learning Architectures for Breast Region Segmentation with a Novel Breast Boundary Proposal	Oct 3, 2024	Boundary DetectionSegmentation	—Unverified	0
Composite Learning for Robust and Effective Dense Predictions	Oct 13, 2022	Boundary DetectionDepth Estimation	—Unverified	0
CONJR: Conjunctive Sentence Splitter without Parsing	Nov 16, 2021	Boundary DetectionSentence	—Unverified	0

Show:10 25 50

← PrevPage 18 of 36Next →

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