Search Results for author: Yohei Nakata

Found 7 papers, 2 papers with code

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting

no code implementations14 Dec 2023 Anthony Chen, Huanrui Yang, Yulu Gan, Denis A Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer

In particular, we build a tree-like Split-Ensemble architecture by performing iterative splitting and pruning from a shared backbone model, where each branch serves as a submodel corresponding to a subtask.

Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow

1 code implementation16 May 2023 Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata

FlowEneDet achieves promising results on Cityscapes, Cityscapes-C, FishyScapes and SegmentMeIfYouCan benchmarks in IDM/OOD detection when applied to pretrained DeepLabV3+ and SegFormer semantic segmentation models.

Anomaly Detection Out-of-Distribution Detection +2

MTTrans: Cross-Domain Object Detection with Mean-Teacher Transformer

1 code implementation3 May 2022 Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, JianXin Li, Kurt Keutzer, Shanghang Zhang

To solve this problem, we propose an end-to-end cross-domain detection Transformer based on the mean teacher framework, MTTrans, which can fully exploit unlabeled target domain data in object detection training and transfer knowledge between domains via pseudo labels.

Domain Adaptation Object +3

RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning

no code implementations2 Mar 2020 Stefano Alletto, Shenyang Huang, Vincent Francois-Lavet, Yohei Nakata, Guillaume Rabusseau

Almost all neural architecture search methods are evaluated in terms of performance (i. e. test accuracy) of the model structures that it finds.

Neural Architecture Search

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