Enrico Fini | DeepAI

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∙ 06/13/2023

Semi-supervised learning made simple with self-supervised clustering

Self-supervised learning models have been shown to learn rich visual rep...

0 Enrico Fini, et al. ∙

∙ 05/15/2023

Improved baselines for vision-language pre-training

Contrastive learning has emerged as an efficient framework to learn mult...

0 Enrico Fini, et al. ∙

∙ 02/18/2023

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization

Large-scale foundation models (e.g., CLIP) have shown promising zero-sho...

0 Shirsha Bose, et al. ∙

∙ 12/09/2022

A soft nearest-neighbor framework for continual semi-supervised learning

Despite significant advances, the performance of state-of-the-art contin...

0 Zhiqi Kang, et al. ∙

∙ 07/23/2022

Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss

Emotion recognition is involved in several real-world applications. With...

22 Riccardo Franceschini, et al. ∙

∙ 03/26/2022

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation

A fundamental and challenging problem in deep learning is catastrophic f...

17 Guanglei Yang, et al. ∙

∙ 02/01/2022

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation

Over the past years, semantic segmentation, as many other tasks in compu...

26 Guanglei Yang, et al. ∙

∙ 12/08/2021

Self-Supervised Models are Continual Learners

Self-supervised models have been shown to produce comparable or better v...

0 Enrico Fini, et al. ∙

∙ 08/19/2021

A Unified Objective for Novel Class Discovery

In this paper, we study the problem of Novel Class Discovery (NCD). NCD ...

0 Enrico Fini, et al. ∙

∙ 08/03/2021

Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

This paper presents solo-learn, a library of self-supervised methods for...

0 Victor G. Turrisi da Costa, et al. ∙

∙ 06/20/2021

Neighborhood Contrastive Learning for Novel Class Discovery

In this paper, we address Novel Class Discovery (NCD), the task of unvei...

0 Zhun Zhong, et al. ∙

∙ 08/04/2020

Online Continual Learning under Extreme Memory Constraints

Continual Learning (CL) aims to develop agents emulating the human abili...

0 Enrico Fini, et al. ∙

∙ 11/04/2019

Supervised online diarization with sample mean loss for multi-domain data

Recently, a fully supervised speaker diarization approach was proposed (...

0 Enrico Fini, et al. ∙

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