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Found 4 papers, 2 papers with code
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving
This has been a significant bottleneck, particularly in the development of common sense reasoning and nuanced scene understanding necessary for safe and reliable autonomous driving.
Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art performance on many visual recognition tasks.
Transform-Invariant Convolutional Neural Networks for Image Classification and Search
In this paper, we propose randomly transforming (rotation, scale, and translation) feature maps of CNNs during the training stage.
Person Re-identification in the Wild
Our baselines address three issues: the performance of various combinations of detectors and recognizers, mechanisms for pedestrian detection to help improve overall re-identification accuracy and assessing the effectiveness of different detectors for re-identification.
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