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
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection—0
A Context-Enhanced De-identification System—0
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image—0
Adversarial Examples for Edge Detection: They Exist, and They Transfer—0
Beyond χ^2 Difference: Learning Optimal Metric for Boundary Detection—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
A Novel Approach for Shot Boundary Detection in Videos—0
Elephant: Sequence Labeling for Word and Sentence Segmentation—0
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors—0
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition—0
Efficient Polyp Segmentation Via Integrity Learning—0
Efficient Color Boundary Detection with Color-Opponent Mechanisms—0
A Graphical Citation Browser for the ACL Anthology—0
Efficient Exact Inference in Planar Ising Models—0
A Region-based Randers Geodesic Approach for Image Segmentation—0
End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection—0
EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model—0
Deep Motion Boundary Detection—0
Deep learning architectures for automated image segmentation—0
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking—0
A Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging—0
A Non-Anatomical Graph Structure for isolated hand gesture separation in continuous gesture sequences—0
Automatic Removal of Marginal Annotations in Printed Text Document—0
Dense Prediction with Attentive Feature Aggregation—0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction—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