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 301–325 of 359 papers

TitleStatusHype
Joint RNN Model for Argument Component Boundary DetectionCode0
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary DetectionCode0
JiTTER: Jigsaw Temporal Transformer for Event Reconstruction for Self-Supervised Sound Event DetectionCode0
Boundary Loss for Remote Sensing Imagery Semantic SegmentationCode0
Holistically-Nested Edge DetectionCode0
APPD: Adaptive and Precise Pupil Boundary Detection using Entropy of Contour GradientsCode0
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer NetworksCode0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Motion Aware Self-Supervision for Generic Event Boundary DetectionCode0
DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated TextsCode0
CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural NetworksCode0
Generic Event Boundary Detection in Video with Pyramid FeaturesCode0
Rethinking the Value of Gazetteer in Chinese Named Entity RecognitionCode0
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection DatasetCode0
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited MemoryCode0
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural NetworksCode0
Guided learning for weakly-labeled semi-supervised sound event detectionCode0
Boundary Detection and Categorization of Argument Aspects via Supervised LearningCode0
Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language AnnotationCode0
The Devil is in the Decoder: Classification, Regression and GANsCode0
Agricultural Field Boundary Detection through Integration of "Simple Non-Iterative Clustering (SNIC) Super Pixels" and "Canny Edge Detection Method"Code0
Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)Code0
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMsCode0
Neuro-inspired edge feature fusion using Choquet integralsCode0
CS-TRD: a Cross Sections Tree Ring Detection methodCode0
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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