: Using hybrid CNN-LSTM models to distinguish between authentic and manipulated digital media.
Deep Forcing: Training-Free Long Video Generation with ... - arXiv 0h3th5mrz71fj19seqqhy_source.mp4
The identifier "0h3th5mrz71fj19seqqhy_source.mp4" appears to be a specific video filename likely associated with research in or multimodal video understanding . : Using hybrid CNN-LSTM models to distinguish between
While a single "deep paper" with this exact filename as its title is not indexed, the filename follows patterns common in academic datasets (like the VISION dataset) used to evaluate models that identify the source camera or detect deepfakes. Related research often focuses on: While a single "deep paper" with this exact
: New techniques like Deep Forcing allow for generating long-form video (up to 60s+) without extensive fine-tuning.
: Identifying the specific device used to record a video by extracting "noise residue" using architectures like RN-Net or MISLnet .
: Using pipelines to extract and summarize explicit video content or generate video from scientific papers, such as the Paper2Video Benchmark .