In the 2023 IEEE/CVF International Conference on Computer Vision (ICCV) , page 13154 contains research on "Video Adverse-Weather-Component Suppression." This involves using a deep feature flow to propagate information across frames to remove rain or snow.
Compressing a 299x299 image frame into a 2048-dimension vector to make the data manageable for AI training. 13154mp4
Large datasets like YouTube-VIS 2019 contain thousands of annotated videos. An "MP4" file named 13154.mp4 would be a specific training instance where deep features (like ResNet or Inception vectors) are extracted for object tracking or segmentation. Deep Features in Video Analysis In the 2023 IEEE/CVF International Conference on Computer
💡 If you are working with a specific dataset, 13154 is likely the unique ID for a video of a rabbit (used in behavioral studies) or a vehicle (used in autonomous driving benchmarks like KITTI ). An "MP4" file named 13154
Layered representations from a CNN (like ResNet50 ) that identify "what" is in the video (e.g., a car, a person).