ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.05199
  4. Cited By
Tackling Partial Domain Adaptation with Self-Supervision

Tackling Partial Domain Adaptation with Self-Supervision

12 June 2019
S. Bucci
A. DÍnnocente
Tatiana Tommasi
ArXivPDFHTML

Papers citing "Tackling Partial Domain Adaptation with Self-Supervision"

12 / 12 papers shown
Title
A separability-based approach to quantifying generalization: which layer
  is best?
A separability-based approach to quantifying generalization: which layer is best?
Luciano Dyballa
Evan Gerritz
Steven W. Zucker
OOD
41
3
0
02 May 2024
Unsupervised Domain Adaptation for Video Transformers in Action
  Recognition
Unsupervised Domain Adaptation for Video Transformers in Action Recognition
Victor G. Turrisi da Costa
Giacomo Zara
Paolo Rota
Thiago Oliveira-Santos
N. Sebe
Vittorio Murino
Elisa Ricci
16
13
0
26 Jul 2022
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Distance-based Hyperspherical Classification for Multi-source Open-Set
  Domain Adaptation
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
S. Bucci
Francesco Cappio Borlino
Barbara Caputo
Tatiana Tommasi
VLM
35
14
0
05 Jul 2021
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain
  Detection
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection
Francesco Cappio Borlino
S. Polizzotto
Barbara Caputo
Tatiana Tommasi
ObjD
28
5
0
07 Jun 2021
Generalized Domain Adaptation
Generalized Domain Adaptation
Yu Mitsuzumi
Go Irie
Daiki Ikami
Takashi Shibata
OOD
32
20
0
03 Jun 2021
Aggregating From Multiple Target-Shifted Sources
Aggregating From Multiple Target-Shifted Sources
Changjian Shui
Zijian Li
Jiaqi Li
Christian Gagné
Charles Ling
Boyu Wang
41
29
0
09 May 2021
Select, Label, and Mix: Learning Discriminative Invariant Feature
  Representations for Partial Domain Adaptation
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
Aadarsh Sahoo
Yikang Shen
Rogerio Feris
Kate Saenko
Abir Das
VLM
53
20
0
06 Dec 2020
Self-Supervised Learning Across Domains
Self-Supervised Learning Across Domains
S. Bucci
A. DÍnnocente
Yujun Liao
Fabio Maria Carlucci
Barbara Caputo
Tatiana Tommasi
SSL
34
73
0
24 Jul 2020
One-Shot Unsupervised Cross-Domain Detection
One-Shot Unsupervised Cross-Domain Detection
A. DÍnnocente
Francesco Cappio Borlino
S. Bucci
Barbara Caputo
Tatiana Tommasi
ObjD
27
33
0
23 May 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
Ran He
Jiashi Feng
171
105
0
05 Mar 2020
Boosting Domain Adaptation by Discovering Latent Domains
Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini
Lorenzo Porzi
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
OOD
136
154
0
03 May 2018
1