SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 359 papers

TitleStatusHype
The FinSBD-2019 Shared Task: Sentence Boundary Detection in PDF Noisy Text in the Financial Domain—0
mhirano at the FinSBD Task: Pointwise Prediction Based on Multi-layer Perceptron for Sentence Boundary Detection—0
aiai at FinSBD task: Sentence Boundary Detection in Noisy Texts From Financial Documents Using Deep Attention Model—0
NUIG at the FinSBD Task: Sentence Boundary Detection for Noisy Financial PDFs in English and French—0
AI\_Blues at FinSBD Shared Task: CRF-based Sentence Boundary Detection in PDF Noisy Text in the Financial Domain—0
PolyU\_CBS-CFA at the FinSBD Task: Sentence Boundary Detection of Financial Data with Domain Knowledge Enhancement and Bilingual Training—0
From Active Contours to Minimal Geodesic Paths: New Solutions to Active Contours Problems by Eikonal Equations—0
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image—0
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary DetectionCode0
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation—0
TransNet: A deep network for fast detection of common shot transitionsCode1
Guided learning for weakly-labeled semi-supervised sound event detectionCode0
Adversarial Examples for Edge Detection: They Exist, and They Transfer—0
Sentence Boundary Detection in Legal Text—0
WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution NetworkCode1
Boundary Loss for Remote Sensing Imagery Semantic SegmentationCode0
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy—0
Lumen boundary detection using neutrosophic c-means in IVOCT images—0
Photo-Sketching: Inferring Contour Drawings from ImagesCode0
Lattice Identification and Separation: Theory and Algorithm—0
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors—0
Automatic lesion boundary detection in dermoscopy—0
Video searching and fingerprint detection by using the image query and PlaceNet-based shot boundary detection method—0
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection—0
Using Semantics for Granularities of Tokenization—0
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All datasetsRoFTRoFT-chatgptCoAuthorNYU-Depth V2TriBERT (in-domain)UruDendroKinetics 400PASCAL Context

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)64.63—Unverified
2RoBERTa + SEPAccuracy (%)49.64—Unverified
3PHD + TS MLAccuracy (%)23.5—Unverified
4TLE + TS BinaryAccuracy (%)12.58—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)67.65—Unverified
2RoBERTa + SEPAccuracy (%)54.61—Unverified
3TLE + TS BinaryAccuracy (%)20.02—Unverified
4PHD + TS MLAccuracy (%)17.29—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (Mistral-7B-v0.3)Cohen’s Kappa score0.42—Unverified
2DeBERTa-v3 (Naive)Cohen’s Kappa score0.4—Unverified
3GigaCheck (DN-DAB-DETR)Cohen’s Kappa score0.19—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF78.1—Unverified
2PGT (Swin-S)odsF78.04—Unverified
3PGT (Swin-T)odsF77.05—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)F1@30.65—Unverified
2TriBERT (p=2)F1@30.58—Unverified
#ModelMetricClaimedVerifiedStatus
1CS-TRDAverage Precision0.94—Unverified
2INBDAverage Precision0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1CASTANET+ EnsemblePairwise F10.81—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF73—Unverified