Aug 25, 2023 � We propose a novel residual transformation network (RestNet) that facilitates knowledge transfer while retaining the intra-domain support-query feature�...

To this end, we propose a novel residual transformation network. (RestNet) that facilitates knowledge transfer while retaining the intra-domain support- query�...

RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network. 8 stars 2 forks

We propose a novel residual transformation network (RestNet) that facilitates knowledge transfer while retaining the intra-domain support-query feature�...

In the case of a large gap between the fields in the source domain dataset, our model achieves SOTA in all results for Chest X-rays.

Aug 25, 2023 � To this end, we propose a novel residual transformation network (RestNet) that facilitates knowledge transfer while retaining the intra-domain�...

Cross-domain few-shot segmentation (CD-FSS) aims to achieve semantic segmentation in previously unseen domains with a limited number of annotated samples. Cross�...

Restnet: Boosting cross-domain few-shot segmentation with residual transformation network. In British Machine Vision Confer- ence, 2023. 2, 6. [15] Md�...

Restnet: Boosting cross-domain few-shot segmentation with residual transformation network. In British Machine Vision Conference, 2023. Islam et al. [2020]

(b) Our RestNet learns knowledge from both inter-domain and intra-domain. It performs cross-domain enhancement transformation while preserving the intra-domain�...