Visual Commonsense R-CNN
We present a novel unsupervised feature representation learning method, Visual Commonsense Region-based Convolutional Neural Network (VC R-CNN), to serve as an improved visual region encoder for high-level tasks such as captioning and VQA. Given a set of detected object regions in an image (e.g., us...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/5592 https://ink.library.smu.edu.sg/context/sis_research/article/6595/viewcontent/CVPR2020_VC_R_CNN.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |