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 291–300 of 359 papers

Title	Date	Tasks	Status	Hype
A Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging	Dec 1, 2016	Boundary DetectionMachine Translation	—Unverified	0
Flood-Filling Networks	Nov 1, 2016	Boundary DetectionClustering	CodeCode Available	0
A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing	Sep 12, 2016	Boundary Detection	—Unverified	0
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory	Sep 7, 2016	Boundary DetectionGPU	CodeCode Available	0
A Novel Approach for Shot Boundary Detection in Videos	Aug 24, 2016	Boundary DetectionClustering	—Unverified	0
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents	Aug 1, 2016	Automatic Speech Recognition (ASR)Boundary Detection	—Unverified	0
English-French Document Alignment Based on Keywords and Statistical Translation	Aug 1, 2016	Boundary DetectionKeyword Extraction	—Unverified	0
LTL-UDE @ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text	Aug 1, 2016	Boundary DetectionPart-Of-Speech Tagging	—Unverified	0
Detection of surface defects on ceramic tiles based on morphological techniques	Jul 21, 2016	Boundary Detection	—Unverified	0
Object Boundary Detection and Classification with Image-level Labels	Jun 29, 2016	Boundary DetectionClassification	—Unverified	0

Show:10 25 50

← PrevPage 30 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