348 citations · 861 across the 19 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022
Learning to Generate Image Embeddings with User-level Differential Privacy
Zheng Xu, Maxwell Collins, Yuxiao Wang +6
Small on-device models have been successfully trained with user-level differential privacy (DP) for next word prediction and image classification tasks in the past. However, existi…
cs.CV2022
kMaX-DeepLab: k-means Mask Transformer
Qihang Yu, Huiyu Wang, Siyuan Qiao +5
The rise of transformers in vision tasks not only advances network backbone designs, but also starts a brand-new page to achieve end-to-end image recognition (e.g., object detectio…
cs.CV2022★ 3 cited
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
Qihang Yu, Huiyu Wang, Dahun Kim +6
We propose Clustering Mask Transformer (CMT-DeepLab), a transformer-based framework for panoptic segmentation designed around clustering. It rethinks the existing transformer archi…