Kuniaki Saito | DeepAI

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∙ 04/04/2023

ERM++: An Improved Baseline for Domain Generalization

Multi-source Domain Generalization (DG) measures a classifier's ability ...

0 Piotr Teterwak, et al. ∙

∙ 03/26/2023

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection

Building object detectors that are robust to domain shifts is critical f...

0 Kuniaki Saito, et al. ∙

∙ 02/06/2023

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval

In Composed Image Retrieval (CIR), a user combines a query image with te...

0 Kuniaki Saito, et al. ∙

∙ 06/02/2022

Prefix Conditioning Unifies Language and Label Supervision

Vision-language contrastive learning suggests a new learning paradigm by...

0 Kuniaki Saito, et al. ∙

∙ 12/03/2021

Learning to Detect Every Thing in an Open World

Many open-world applications require the detection of novel objects, yet...

0 Kuniaki Saito, et al. ∙

∙ 08/24/2021

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Unsupervised domain adaptation (UDA) methods can dramatically improve ge...

0 Kuniaki Saito, et al. ∙

∙ 07/23/2021

VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data

Progress in machine learning is typically measured by training and testi...

0 Dina Bashkirova, et al. ∙

∙ 05/28/2021

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers

Semi-supervised learning (SSL) is an effective means to leverage unlabel...

0 Kuniaki Saito, et al. ∙

∙ 04/07/2021

OVANet: One-vs-All Network for Universal Domain Adaptation

Universal Domain Adaptation (UNDA) aims to handle both domain-shift and ...

0 Kuniaki Saito, et al. ∙

∙ 08/01/2020

Self-supervised Visual Attribute Learning for Fashion Compatibility

Many self-supervised learning (SSL) methods have been successful in lear...

6 Donghyun Kim, et al. ∙

∙ 07/15/2020

COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder

Unsupervised image-to-image translation intends to learn a mapping of an...

4 Kuniaki Saito, et al. ∙

∙ 03/18/2020

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels

Existing unsupervised domain adaptation methods aim to transfer knowledg...

5 Donghyun Kim, et al. ∙

∙ 02/19/2020

Universal Domain Adaptation through Self Supervision

Unsupervised domain adaptation methods traditionally assume that all sou...

15 Kuniaki Saito, et al. ∙

∙ 09/08/2019

MULE: Multimodal Universal Language Embedding

Existing vision-language methods typically support two languages at a ti...

4 Donghyun Kim, et al. ∙

∙ 04/13/2019

Semi-supervised Domain Adaptation via Minimax Entropy

Contemporary domain adaptation methods are very effective at aligning fe...

6 Kuniaki Saito, et al. ∙

∙ 12/18/2018

TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation

The task of unsupervised domain adaptation is proposed to transfer the k...

16 Toshihiko Matsuura, et al. ∙

∙ 12/12/2018

Strong-Weak Distribution Alignment for Adaptive Object Detection

We propose an approach for unsupervised adaptation of object detectors f...

48 Kuniaki Saito, et al. ∙

∙ 12/11/2018

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Most contemporary robots have depth sensors, and research on semantic se...

6 Kohei Watanabe, et al. ∙

∙ 06/26/2018

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation

Unsupervised transfer of object recognition models from synthetic to rea...

4 Xingchao Peng, et al. ∙

∙ 04/27/2018

Open Set Domain Adaptation by Backpropagation

Numerous algorithms have been proposed for transferring knowledge from a...

0 Kuniaki Saito, et al. ∙

∙ 12/07/2017

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

In this work, we present a method for unsupervised domain adaptation (UD...

0 Kuniaki Saito, et al. ∙

∙ 11/05/2017

Adversarial Dropout Regularization

We present a method for transferring neural representations from label-r...

0 Kuniaki Saito, et al. ∙

∙ 10/31/2017

Melody Generation for Pop Music via Word Representation of Musical Properties

Automatic melody generation for pop music has been a long-time aspiratio...

0 Andrew Shin, et al. ∙

∙ 02/27/2017

Asymmetric Tri-training for Unsupervised Domain Adaptation

Deep-layered models trained on a large number of labeled samples boost t...

0 Kuniaki Saito, et al. ∙

∙ 12/23/2016

DeMIAN: Deep Modality Invariant Adversarial Network

Obtaining common representations from different modalities is important ...

0 Kuniaki Saito, et al. ∙

∙ 06/20/2016

DualNet: Domain-Invariant Network for Visual Question Answering

Visual question answering (VQA) task not only bridges the gap between im...

0 Kuniaki Saito, et al. ∙

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