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 176–200 of 359 papers

TitleStatusHype
Generic Event Boundary Detection: A Benchmark for Event SegmentationCode1
PalmTree: Learning an Assembly Language Model for Instruction EmbeddingCode1
Horizontal-to-Vertical Video ConversionCode1
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation—0
On-Device detection of sentence completion for voice assistants with low-memory footprint—0
Field of Junctions: Extracting Boundary Structure at Low SNRCode1
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer VideosCode1
CalibreNet: Calibration Networks for Multilingual Sequence Labeling—0
Sentence Boundary Detection on Line Breaks in Japanese—0
Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing ImagesCode1
Weakly-supervised Salient Instance Detection—0
Clustering Based on Graph of Density TopologyCode1
Frame-wise Cross-modal Matching for Video Moment RetrievalCode1
Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input featuresCode1
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement—0
TransNet V2: An effective deep network architecture for fast shot transition detectionCode1
Self-Supervised Contrastive Learning for Unsupervised Phoneme SegmentationCode1
BIT's system for the AutoSimTrans 2020—0
Dynamic Sentence Boundary Detection for Simultaneous Translation—0
Practical applications of metric space magnitude and weighting vectors—0
Multi-spectral Facial Landmark Detection—0
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension—0
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection—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