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DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation

  • Published:2021-10 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • language:
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Author:

Bao Wentao1,Yu Qi1,Kong Yu1

Affiliation:

1. Rochester Institute of Technology,Golisano College of Computing and Information Sciences

Funder

Office of Naval Research

Army Research Office

Publisher

IEEE

Reference50 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan,2014

2. CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis

3. Recur-rent models of visual attention;mnih;NeurIPS,2014

4. Asynchronous methods for deep reinforcement learning;mnih;ICML,2016

5. Corso. TASED-Net: Temporally-aggregating spatial encoder-decoder network for video saliency detection;min;ICCV,2019

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5. Vision-Based Accident Anticipation and Detection Using Deep Learning;IEEE Instrumentation & Measurement Magazine;2024-05
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