Search Results for author: Youngseok Yoon

Found 2 papers, 2 papers with code

Collaborative Transformers for Grounded Situation Recognition

3 code implementations • CVPR 2022 • Junhyeong Cho, Youngseok Yoon, Suha Kwak

To implement this idea, we propose Collaborative Glance-Gaze TransFormer (CoFormer) that consists of two modules: Glance transformer for activity classification and Gaze transformer for entity estimation.

Ranked #2 on Situation Recognition on imSitu

Grounded Situation Recognition Image Classification +4

2,959

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Code

Grounded Situation Recognition with Transformers

1 code implementation • 19 Nov 2021 • Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak

Grounded Situation Recognition (GSR) is the task that not only classifies a salient action (verb), but also predicts entities (nouns) associated with semantic roles and their locations in the given image.

Ranked #5 on Situation Recognition on imSitu

Grounded Situation Recognition Image Classification +4

Paper
Code

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