Jun 25, 2020 · This paper presents parametric instance classification (PIC) for unsupervised visual feature learning. Unlike the state-of-the-art approaches ...

This paper presents parametric instance classification (PIC) for unsupervised vi- sual feature learning. Unlike the state-of-the-art approaches which do ...

Summary and Contributions: This paper presents a novel parametric instance classification (PIC) method to perform one-branch parametric instance ...

Dec 6, 2020 · This paper presents parametric instance classification (PIC) for unsupervised visual feature learning. Unlike the state-of-the-art ...

Jun 25, 2020 · In this paper, we present a simple and effective framework, parametric instance classification (PIC), for unsupervised feature learning. We ...

This paper addresses self-supervised feature learning, providing a simpler method than previous work, with comparable performance. The reviewers were unanimous ...

Our paper was accepted by NeurIPS 2020! Introduction. This paper presents parametric instance classification (PIC) for unsupervised visual feature learning.

We formulate this intuition as a non-parametric classification problem at the instance-level, and use noise-contrastive estimation to tackle the ...

Jan 27, 2022 · This intuition is formulated as a non-parametric classification problem at the instance-level, and use noise-contrastive estimation (NCE) to ...

This paper presents a simple unsupervised visual represen- tation learning method with a pretext task of discriminat- ing all images in a dataset using a ...