Negative Learning to Prevent Undesirable Misclassification von EGASHIRA, Kazuki, MIYAI, Atsuyuki, YU, Qing, IRIE, Go, AIZAWA, Kiyoharu

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Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? von Miyai, Atsuyuki, Yu, Qing, Irie, Go, Aizawa, Kiyoharu

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LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning von Miyai, Atsuyuki, Yu, Qing, Irie, Go, Aizawa, Kiyoharu

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Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models von Miyai, Atsuyuki, Yu, Qing, Irie, Go, Aizawa, Kiyoharu

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JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation von Onohara, Shota, Miyai, Atsuyuki, Imajuku, Yuki, Egashira, Kazuki, Baek, Jeonghun, Yue, Xiang, Neubig, Graham, Aizawa, Kiyoharu

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Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation von Miyai, Atsuyuki, Yu, Qing, Ikami, Daiki, Irie, Go, Aizawa, Kiyoharu

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Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models von Miyai, Atsuyuki, Yang, Jingkang, Zhang, Jingyang, Ming, Yifei, Yu, Qing, Irie, Go, Li, Yixuan, Li, Hai, Liu, Ziwei, Aizawa, Kiyoharu

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Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey von Miyai, Atsuyuki, Yang, Jingkang, Zhang, Jingyang, Ming, Yifei, Lin, Yueqian, Yu, Qing, Irie, Go, Joty, Shafiq, Li, Yixuan, Li, Hai, Liu, Ziwei, Yamasaki, Toshihiko, Aizawa, Kiyoharu

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LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning von Miyai, Atsuyuki, Yu, Qing, Irie, Go, Aizawa, Kiyoharu

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Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? von Miyai, Atsuyuki, Yu, Qing, Irie, Go, Aizawa, Kiyoharu

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Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models von Miyai, Atsuyuki, Yu, Qing, Irie, Go, Aizawa, Kiyoharu

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JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation von Onohara, Shota, Miyai, Atsuyuki, Imajuku, Yuki, Egashira, Kazuki, Baek, Jeonghun, Yue, Xiang, Neubig, Graham, Aizawa, Kiyoharu

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Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation von Miyai, Atsuyuki, Yu, Qing, Ikami, Daiki, Irie, Go, Aizawa, Kiyoharu

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Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models von Miyai, Atsuyuki, Yang, Jingkang, Zhang, Jingyang, Yifei Ming, Yu, Qing, Irie, Go, Li, Yixuan, Li, Hai, Liu, Ziwei, Aizawa, Kiyoharu

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Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey von Miyai, Atsuyuki, Yang, Jingkang, Zhang, Jingyang, Yifei Ming, Lin, Yueqian, Yu, Qing, Irie, Go, Joty, Shafiq, Li, Yixuan, Li, Hai, Liu, Ziwei, Yamasaki, Toshihiko, Aizawa, Kiyoharu

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