most citedTowards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2022★ 1 cited

Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding

Erica K. Shimomoto, Edison Marrese-Taylor, Hiroya Takamura +3

This paper explores the task of Temporal Video Grounding (TVG) where, given an untrimmed video and a natural language sentence query, the goal is to recognize and determine tempora…

cs.CV2022

Pixel to Binary Embedding Towards Robustness for CNNs

Ikki Kishida, Hideki Nakayama

There are several problems with the robustness of Convolutional Neural Networks (CNNs). For example, the prediction of CNNs can be changed by adding a small magnitude of noise to a…