Image to Video Adaptation

Image-to-video adaptation focuses on efficiently transferring knowledge from powerful image recognition models to the video domain, aiming to leverage readily available image data for video tasks. Current research emphasizes efficient adaptation techniques, exploring architectures like transformers and employing strategies such as object-centric representations, inter-frame interpolation, and lightweight adapters to minimize computational cost while maintaining accuracy. This field is significant because it addresses the scarcity of labeled video data, enabling advancements in video understanding and applications like action recognition and video editing, particularly for long video sequences.