License
By Oliver Gassmann, Karolin Frankenberger, M. Choudury. 2020
Subfields: Natural Language Processing
Citations in the corpus
- Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis (2024, unknown): “Regarding MLLMs for processing videos [26, 44, 54], the key difference lies in how they encode the video into vision tokens compatible with the LLMs. Representative work like Video-LLaMA [71] first uses a ViT [14] with an image Q-Former to encode individual frames and then employs a video Q-Former…”