Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning

Author:

Noguchi Chihiro1,Tanizawa Toshihiro1

Affiliation:

1. Toyota Motor Corporation,Japan

Publisher

IEEE

Reference54 articles.

1. Momentum Contrast for Unsupervised Visual Representation Learning

2. Safe deep semi-supervised learning for unseen-class unlabeled data;guo;Proceedings of the 37th International Conference on Machine Learning volume 119 of Proceedings of Machine Learning Research,2020

3. Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models

4. Spatio-Temporal Action Graph Networks

5. BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

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1. Evaluation of Video Masked Autoencoders’ Performance and Uncertainty Estimations for Driver Action and Intention Recognition;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification;Computer Analysis of Images and Patterns;2023

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