MLSP-2: Deep Learning Training Methods 2 |
Session Type: Poster |
Time: Tuesday, 8 June, 13:00 - 13:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Reinhold Häb-Umbach, Paderborn University |
MLSP-2.1: HOW CONVOLUTIONAL NEURAL NETWORKS DEAL WITH ALIASING |
Antonio H. Ribeiro; Uppsala University |
Thomas B. Schön; Uppsala University |
MLSP-2.2: CANET: CONTEXT-AWARE LOSS FOR DESCRIPTOR LEARNING |
Tianyou Chen; Beihang University |
Xiaoguang Hu; Beihang University |
Jin Xiao; Beihang University |
Guofeng Zhang; Beihang University |
Hui Ruan; Beihang University |
MLSP-2.3: PROGRESSIVE MULTI-STAGE FEATURE MIX FOR PERSON RE-IDENTIFICATION |
Yan Zhang; East China Normal University |
Binyu He; East China Normal University |
Li Sun; East China Normal University |
Qingli Li; East China Normal University |
MLSP-2.4: USING DEEP IMAGE PRIORS TO GENERATE COUNTERFACTUAL EXPLANATIONS |
Vivek Narayanaswamy; Arizona State University |
Jayaraman Thiagarajan; Lawrence Livermore National Labs |
Andreas Spanias; Arizona State University |
MLSP-2.5: ELLIPTICAL SHAPE RECOVERY FROM BLURRED PIXELS USING DEEP LEARNING |
Hojatollah Zamani; Sharif University of Technology |
Peyman Rostami; Sharif University of Technology |
Arash Amini; Sharif University of Technology |
Farokh Marvasti; Sharif University of Technology |
MLSP-2.6: FACTORIZED CRF WITH BATCH NORMALIZATION BASED ON THE ENTIRE TRAINING DATA |
Eran Goldman; Bar-Ilan University |
Jacob Goldberger; Bar-Ilan University |