2 citations · 3 across the 3 of their papers we have counts for
3 papers
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam, Mathilde Caron, Yuki M. Asano
With the advent of billion-parameter foundation models, efficient fine-tuning has become increasingly important for the adaptation of models to downstream tasks. However, especiall…
Guided Diffusion from Self-Supervised Diffusion Features
Vincent Tao Hu, Yunlu Chen, Mathilde Caron +3
Guidance serves as a key concept in diffusion models, yet its effectiveness is often limited by the need for extra data annotation or classifier pretraining. That is why guidance w…
Weakly-Supervised Surgical Phase Recognition
Roy Hirsch, Regev Cohen, Mathilde Caron +3
A key element of computer-assisted surgery systems is phase recognition of surgical videos. Existing phase recognition algorithms require frame-wise annotation of a large number of…