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 51–75 of 359 papers

TitleStatusHype
Frame-wise Cross-modal Matching for Video Moment RetrievalCode1
Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input featuresCode1
TransNet V2: An effective deep network architecture for fast shot transition detectionCode1
Self-Supervised Contrastive Learning for Unsupervised Phoneme SegmentationCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
Enhancing Monotonic Multihead Attention for Streaming ASRCode1
Phoneme Boundary Detection using Learnable Segmental FeaturesCode1
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge DetectionCode1
TransNet: A deep network for fast detection of common shot transitionsCode1
WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution NetworkCode1
Learning to predict crisp boundariesCode1
Pixel-wise Attentional Gating for Parsimonious Pixel LabelingCode1
Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural NetworksCode1
Deeply supervised salient object detection with short connectionsCode1
SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation—0
Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices—0
Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory—0
Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning—0
Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra—0
Tiger200K: Manually Curated High Visual Quality Video Dataset from UGC Platform—0
EventVAD: Training-Free Event-Aware Video Anomaly Detection—0
Foundations and Evaluations in NLP—0
Physics-informed neural networks for hidden boundary detection and flow field reconstruction—0
BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes—0
Open-World Skill Discovery from Unsegmented Demonstrations—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