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 276–300 of 359 papers

TitleStatusHype
On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation—0
Open-World Skill Discovery from Unsegmented Demonstrations—0
Operational Learning-based Boundary Estimation in Electromagnetic Medical Imaging—0
Oriented Edge Forests for Boundary Detection—0
PADS Restoration and Its Importance in Reading Comprehension and Meaning Representation—0
PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset—0
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization—0
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate Relation Selection and Entity Boundary Detection—0
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images—0
Performance and limitations of the linguistically motivated Cocoa/Peaberry system in a broad biological domain.—0
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks—0
Physics-informed neural networks for hidden boundary detection and flow field reconstruction—0
Point-wise mutual information-based video segmentation with high temporal consistency—0
PolyU\_CBS-CFA at the FinSBD Task: Sentence Boundary Detection of Financial Data with Domain Knowledge Enhancement and Bilingual Training—0
Practical applications of metric space magnitude and weighting vectors—0
Prosodic boundary information helps unsupervised word segmentation—0
Prosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication—0
Pushing the Boundaries of Boundary Detection using Deep Learning—0
Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck—0
Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory—0
Recent advancements in computational morphology : A comprehensive survey—0
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction—0
RED-NET: A Recursive Encoder-Decoder Network for Edge Detection—0
Learning structure-aware semantic segmentation with image-level supervisionCode0
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image SegmentationCode0
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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