Patrik Vacek presents Contrastive learning for visual representations - Part 1

On 2020-12-08 11:00:00 at
Online reading group on "Contrastive learning for visual representations" -
Part 1

Contrastive learning has recently attracted a lot of attention as a means to
learn visual representation in an unsupervised way. This is the first part, out
of two, presenting some of the relevant approaches. We will present [1] which
introduces contrastive learning with a dynamic dictionary, and continue the
discussion with [2] which extends it by efficient creation of hard negative

[1] Momentum Contrast for Unsupervised Visual Representation Learning, He et
al. CVPR 2020
[2] Hard Negative Mixing for Contrastive Learning, Kalantidis et al. NeurIPS

Video conference link:

Instructions for participants: The reading group studies the literature in the
field of pattern recognition and computer vision. At each meeting one or more
papers are prepared for presentation by a single person, the presenter. The
meetings are open to anyone, disregarding their background. It is assumed that
everyone attending the reading group has, at least briefly, read the paper –
not necessarily understanding everything. Attendants should preferably send
questions about the unclear parts to the speaker at least one day in advance.
During the presentation we aim to have a fruitful discussion, a critical
analysis of the paper, as well as brainstorming for creative extensions.

See the page of reading groups
Za obsah zodpovídá: Petr Pošík