The official implementation for "UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection". The detection of ligand binding sites for proteins is ...

Abstract: Document detection is where algorithms are trained to detect and classify document types such that automating sorting and data extraction becomes more efficient in document management.

SMU Office of Research Governance & Administration – Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, ...

Galion City Council members revisited the Clay Street ordinance during its Aug. 12 meeting before voting to rezone a parcel on Dawsett Avenue and increase electricity prices again. Council members Ken ...

Multi-site neuroimaging studies have become increasingly common in order to generate larger samples of reproducible data to answer questions associated with smaller effect sizes. The data ...

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...

Los Angeles Dodgers two-way star Shohei Ohtani and agent Nez Balelo are being sued by a Hawaiian real estate investor and broker, according to the Associated Press. The lawsuit, filed in Hawaii ...

Abstract: Facial recognition is a challenging problem in image processing and machine learning areas. Since widespread applications of facial recognition make it a valuable research topic, this work ...