2 papers
cs.CV2020
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
M. Esat Kalfaoglu, Sinan Kalkan, A. Aydin Alatan
In this work, we combine 3D convolution with late temporal modeling for action recognition. For this aim, we replace the conventional Temporal Global Average Pooling (TGAP) layer a…
cs.RO2017
CINet: A Learning Based Approach to Incremental Context Modeling in Robots
Fethiye Irmak Doğan, İlker Bozcan, Mehmet Çelik +1
There have been several attempts at modeling context in robots. However, either these attempts assume a fixed number of contexts or use a rule-based approach to determine when to i…