PIC: Permutation Invariant Convolution for Recognizing Long-range Activities

Understand

Neural operations as convolutions, self-attention, and vector aggregation are the go-to choices for recognizing short-range actions.

• However, they have three limitations in modeling long-range activities.
• This paper presents PIC, Permutation Invariant Convolution, a novel neural layer to model the temporal structure of long-range activities.
• It has three desirable properties.