Knowledge Amalgamation for Object Detection With Transformers
Knowledge amalgamation (KA) is a novel deep model reusing task aiming to transfer knowledge from several well-trained teachers to a multi-talented and compact student. Currently, most of these approaches are tailored for convolutional neural networks (CNNs). However, there is a tendency that Transfo...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 17., Seite 2093-2106
|
|---|
| Auteur principal: |
Zhang, Haofei
(Auteur) |
|---|
| Autres auteurs: |
Mao, Feng,
Xue, Mengqi,
Fang, Gongfan,
Feng, Zunlei,
Song, Jie,
Song, Mingli |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2023
|
|---|
| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Sujets: | Journal Article |
|---|