:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fujii, Kazuma, Kera, Hiroshi, Kawamoto, Kazuhiko
Format:	Preprint
Published:	2021
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2109.05751
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Identifying Important Group of Pixels using Interactions
by: Sumiyasu, Kosuke, et al.
Published: (2024)

Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding
by: Yoda, Kazuki, et al.
Published: (2025)

Explaining Object Detectors via Collective Contribution of Pixels
by: Yamauchi, Toshinori, et al.
Published: (2024)

Concept-Based Unsupervised Domain Adaptation
by: Xu, Xinyue, et al.
Published: (2025)

Gradient Harmonization in Unsupervised Domain Adaptation
by: Huang, Fuxiang, et al.
Published: (2024)

Adversarial Training from Mean Field Perspective
by: Kumano, Soichiro, et al.
Published: (2025)

TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors
by: Dimitriu, Adonisz, et al.
Published: (2024)

Zero-Shot Faithful Textual Explanations via Directional-Derivative Influence on Predictions
by: Yamauchi, Toshinori, et al.
Published: (2026)

Robust Human Trajectory Prediction via Self-Supervised Skeleton Representation Learning
by: Arashima, Taishu, et al.
Published: (2026)

Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning
by: Fukuda, Takuma, et al.
Published: (2024)

Low-Quality Image Detection by Hierarchical VAE
by: Nanaumi, Tomoyasu, et al.
Published: (2024)

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment
by: Kawamoto, Kazuhiko, et al.
Published: (2025)

Zero-Shot Textual Explanations via Translating Decision-Critical Features
by: Yamauchi, Toshinori, et al.
Published: (2025)

Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition
by: Tanaka, Nariki, et al.
Published: (2023)

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation
by: Wang, Fan, et al.
Published: (2024)

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
by: Kangin, Dmitry, et al.
Published: (2024)

Contrastive Adversarial Training for Unsupervised Domain Adaptation
by: Chen, Jiahong, et al.
Published: (2024)

On the Importance of Backbone to the Adversarial Robustness of Object Detectors
by: Li, Xiao, et al.
Published: (2023)

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
by: Yang, Jiawen, et al.
Published: (2025)

Discovering Learning-Friendly Generation Orders for Sequential Computation
by: Sato, Yuta, et al.
Published: (2025)

An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification
by: Choi, Eugene, et al.
Published: (2024)

Source-Free Domain Adaptation for YOLO Object Detection
by: Varailhon, Simon, et al.
Published: (2024)

EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer
by: Abedi, Ali, et al.
Published: (2024)

A3: Active Adversarial Alignment for Source-Free Domain Adaptation
by: Eze, Chrisantus, et al.
Published: (2024)

Matching Semantically Similar Non-Identical Objects
by: Marumo, Yusuke, et al.
Published: (2024)

AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation
by: Shen, Lulan, et al.
Published: (2024)

Theoretical Understanding of Learning from Adversarial Perturbations
by: Kumano, Soichiro, et al.
Published: (2024)

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
by: Wang, Zixi, et al.
Published: (2025)

Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
by: Kumano, Soichiro, et al.
Published: (2025)

Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
by: Litrico, Mattia, et al.
Published: (2024)

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
by: Nguyen, Tuan, et al.
Published: (2024)

Wide Two-Layer Networks can Learn from Adversarial Perturbations
by: Kumano, Soichiro, et al.
Published: (2024)

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
by: Zhang, Xuzhe, et al.
Published: (2023)

Multiple Object Stitching for Unsupervised Representation Learning
by: Shen, Chengchao, et al.
Published: (2025)

Visual Modality Prompt for Adapting Vision-Language Object Detectors
by: Medeiros, Heitor R., et al.
Published: (2024)

ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
by: Aubard, Martin, et al.
Published: (2024)

Masked Multi-Query Slot Attention for Unsupervised Object Discovery
by: Pramanik, Rishav, et al.
Published: (2024)

DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
by: Strohmayer, Julian, et al.
Published: (2024)

Noise Optimized Conditional Diffusion for Domain Adaptation
by: Luo, Lingkun, et al.
Published: (2025)

Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots
by: Lao, Dong, et al.
Published: (2023)