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

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Showing 1–10 of 359 papers

TitleStatusHype
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
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra—0
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
Tiger200K: Manually Curated High Visual Quality Video Dataset from UGC Platform—0
EventVAD: Training-Free Event-Aware Video Anomaly Detection—0
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal PromptingCode2
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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