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
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge DetectionCode1
Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous DrivingCode1
TransNet: A deep network for fast detection of common shot transitionsCode1
TransNet V2: An effective deep network architecture for fast shot transition detectionCode1
Deeply supervised salient object detection with short connectionsCode1
Visual Saliency TransformerCode1
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning ApproachCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
Field of Junctions: Extracting Boundary Structure at Low SNRCode1
Clustering Based on Graph of Density TopologyCode1
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition ParserCode1
Horizontal-to-Vertical Video ConversionCode1
Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing ImagesCode1
Boundary Guided Context Aggregation for Semantic SegmentationCode1
Boundary Detection with BERT for Span-level Emotion Cause Analysis—0
Boundary Detection Benchmarking: Beyond F-Measures—0
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension—0
An unsupervised segmentation of vocal breath sounds—0
Boundary Detection Algorithm Inspired by Locally Linear Embedding—0
aiai at FinSBD task: Sentence Boundary Detection in Noisy Texts From Financial Documents Using Deep Attention Model—0
Deep learning architectures for automated image segmentation—0
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation—0
Dealing with negative samples with multi-task learning on span-based joint entity-relation extraction—0
A Holistic Approach to Bilingual Sentence Fragment Extraction from Comparable Corpora—0
BIT's system for the AutoSimTrans 2020—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