MLSP-22.1
FEW-SHOT OBJECT DETECTION WITH LOCAL CORRESPONDENCE RPN and ATTENTIVE HEAD
Jian Han, Yali Li, Shengjin Wang, tsinghua.edu.cn, China
Session:
Machine Learning for Image and Video Processing
Track:
Machine Learning for Signal Processing
Location:
Gather Area G
Presentation Time:
Tue, 10 May, 20:00 - 20:45 China Time (UTC +8)
Tue, 10 May, 12:00 - 12:45 UTC
Tue, 10 May, 12:00 - 12:45 UTC
Session Chair:
Nicolas Gillis, University of Mons
Session MLSP-22
MLSP-22.1: FEW-SHOT OBJECT DETECTION WITH LOCAL CORRESPONDENCE RPN and ATTENTIVE HEAD
Jian Han, Yali Li, Shengjin Wang, tsinghua.edu.cn, China
MLSP-22.2: Natural-looking Adversarial Examples from Freehand Sketches
Hak Gu Kim, Chung-Ang University, Korea, Republic of; Davide Nanni, Sabine Süsstrunk, École Polytechnique Fédérale de Lausanne, Switzerland
MLSP-22.3: VIDEO ANOMALY DETECTION VIA PREDICTION NETWORK WITH ENHANCED SPATIO-TEMPORAL MEMORY EXCHANGE
Guodong Shen, Yuqi Ouyang, Victor Sanchez, University of Warwick, United Kingdom of Great Britain and Northern Ireland
MLSP-22.4: SIGNAL COMPRESSION VIA NEURAL IMPLICIT REPRESENTATIONS
Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Politecnico di Torino, Italy
MLSP-22.5: Hybrid Weighting Loss for Precipitation Nowcasting from Radar Images
Yuan Cao, Hongming Shan, Fudan University, China; Lei Chen, Leiming Ma, Shanghai Central Meteorological Observatory, China; Danchen Zhang, University of Pittsburgh, China
MLSP-22.6: ADVERSARIAL LEARNING ENHANCEMENT FOR 3D HUMAN POSE AND SHAPE ESTIMATION
Yidian Sun, Jiwei Zhang, Wendong Wang, Beijing University of Posts and Telecommunications, China