Atsuyuki Miyai

According to our database, Atsuyuki Miyai authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Negative Learning to Prevent Undesirable Misclassification.

Kazuki Egashira, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

IEICE Trans. Inf. Syst., January, 2024

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation.

Shota Onohara, Atsuyuki Miyai, Yuki Imajuku, Kazuki Egashira, Jeonghun Baek, Xiang Yue, Graham Neubig, Kiyoharu Aizawa

CoRR, 2024

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

CoRR, 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

CoRR, 2024

2023

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, 2023

Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, 2023

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation.

Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023