Online progressive instance-balanced sampling for weakly supervised object detection

no code implementations • 21 Jun 2022 • M. Chen, Y. Tian, Z. Li, E. Li, Z. Liang

The PIB module combining random sampling and IoU-balanced sampling progressively mines hard negative instances while balancing positive instances and negative instances.

object-detection Weakly Supervised Object Detection

flow-based clustering and spectral clustering: a comparison

no code implementations • 20 Jun 2022 • Y. Sarcheshmehpour, Y. Tian, L. Zhang, A. Jung

What sets our approach apart from spectral clustering is that we do not use the eigenvectors of a graph Laplacian to construct the feature vectors.

Clustering Graph Clustering

Measurement of the Ar(e,e$^\prime$ p) and Ti(e,e$^\prime$ p) cross sections in Jefferson Lab Hall A

no code implementations • 21 Dec 2020 • L. Gu, D. Abrams, A. M. Ankowski, L. Jiang, B. Aljawrneh, S. Alsalmi, J. Bane, A. Batz, S. Barcus, M. Barroso, O. Benhar, V. Bellini, J. Bericic, D. Biswas, A. Camsonne, J. Castellanos, J. -P. Chen, M. E. Christy, K. Craycraft, R. Cruz-Torres, H. Dai, D. Day, S. -C. Dusa, E. Fuchey, T. Gautam, C. Giusti, J. Gomez, C. Gu, T. Hague, J. -O. Hansen, F. Hauenstein, D. W. Higinbotham, C. Hyde, C. Keppel, S. Li, R. Lindgren, H. Liu, C. Mariani, R. E. McClellan, D. Meekins, R. Michaels, M. Mihovilovic, M. Murphy, D. Nguyen, M. Nycz, L. Ou, B. Pandey, V. Pandey, K. Park, G. Perera, A. J. R. Puckett, S. N. Santiesteban, S. Širca, T. Su, L. Tang, Y. Tian, N. Ton, B. Wojtsekhowski, S. Wood, Z. Ye, J. Zhang

The E12-14-012 experiment, performed in Jefferson Lab Hall A, has collected exclusive electron-scattering data (e, e$^\prime$p) in parallel kinematics using natural argon and natural titanium targets.

Nuclear Experiment Nuclear Theory