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 251–300 of 359 papers

TitleStatusHype
WiSeBE: Window-based Sentence Boundary EvaluationCode0
Learning to predict crisp boundariesCode1
DOOBNet: Deep Object Occlusion Boundary Detection from an ImageCode0
A Divide-and-Conquer Approach to Geometric Sampling for Active Learning—0
Linear-Time Constituency Parsing with RNNs and Dynamic Programming—0
Pixel-wise Attentional Gating for Parsimonious Pixel LabelingCode1
D\'etection automatique de phrases en domaine de sp\'ecialit\'e en fran (Sentence boundary detection for specialized domains in French )—0
Moving TIGER beyond Sentence-Level—0
Deep Motion Boundary Detection—0
Sentence Boundary Detection for French with Subword-Level Information Vectors and Convolutional Neural Networks—0
Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development—0
Recurrent Pixel Embedding for Instance GroupingCode0
Coordination Boundary Identification with Similarity and Replaceability—0
Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science—0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts—0
Semantic Segmentation from Limited Training Data—0
APPD: Adaptive and Precise Pupil Boundary Detection using Entropy of Contour GradientsCode0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts—0
Combining Global Models for Parsing Universal Dependencies—0
A Locally Adapting Technique for Boundary Detection using Image Segmentation—0
The Devil is in the Decoder: Classification, Regression and GANsCode0
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory—0
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural NetworksCode0
Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural NetworksCode1
Joint RNN Model for Argument Component Boundary DetectionCode0
Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur \& Antiqua Models and Image Preprocessing—0
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection—0
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection—0
Skin cancer reorganization and classification with deep neural network—0
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion—0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Convolutional Oriented Boundaries: From Image Segmentation to High-Level TasksCode0
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks—0
Entity Identification as MultitaskingCode0
Classification With an Edge: Improving Semantic Image Segmentation with Boundary DetectionCode0
Detecting Sentence Boundaries in Sanskrit Texts—0
A Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging—0
Understanding Medical free text: A Terminology driven approach—0
Analyzing Impact, Trend, and Diffusion of Knowledge associated with Neoplasms Research—0
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMsCode0
Deeply supervised salient object detection with short connectionsCode1
Flood-Filling NetworksCode0
A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing—0
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited MemoryCode0
A Novel Approach for Shot Boundary Detection in Videos—0
English-French Document Alignment Based on Keywords and Statistical Translation—0
LTL-UDE @ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text—0
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents—0
Detection of surface defects on ceramic tiles based on morphological techniques—0
Object Boundary Detection and Classification with Image-level Labels—0
Show:102550
← PrevPage 6 of 8Next →
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