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 76–100 of 359 papers

TitleStatusHype
CS-TRD: a Cross Sections Tree Ring Detection methodCode0
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy—0
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection DatasetCode0
Rethinking Boundary Detection in Deep Learning Models for Medical Image SegmentationCode1
Boosting Semantic Segmentation with Semantic BoundariesCode0
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary DetectionCode2
An unsupervised segmentation of vocal breath sounds—0
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
Algorithm Design for Online Meta-Learning with Task Boundary Detection—0
Generic Event Boundary Detection in Video with Pyramid FeaturesCode0
Multimodal High-order Relation Transformer for Scene Boundary Detection—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking—0
Learning to Detect Semantic Boundaries with Image-level Class Labels—0
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross SectionsCode1
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate Relation Selection and Entity Boundary Detection—0
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion ModuleCode1
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss—0
Waveform Boundary Detection for Partially Spoofed Audio—0
Composite Learning for Robust and Effective Dense Predictions—0
Motion Aware Self-Supervision for Generic Event Boundary DetectionCode0
Boundary Detection and Categorization of Argument Aspects via Supervised LearningCode0
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
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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