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Found 6 papers, 5 papers with code
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
Preference modeling techniques, such as direct preference optimization (DPO), has shown effective in enhancing the generalization abilities of large language model (LLM).
Mega: Moving Average Equipped Gated Attention
The design choices in the Transformer attention mechanism, including weak inductive bias and quadratic computational complexity, have limited its application for modeling long sequences.
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Training Vision-Language Transformers from Captions
Vision-Language Transformers can be learned without low-level human labels (e. g. class labels, bounding boxes, etc).
KAT: A Knowledge Augmented Transformer for Vision-and-Language
The primary focus of recent work with largescale transformers has been on optimizing the amount of information packed into the model's parameters.
Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision
Learning to hallucinate additional examples has recently been shown as a promising direction to address few-shot learning tasks.
Argus: Efficient Activity Detection System for Extended Video Analysis
We propose an Efficient Activity Detection System, Argus, for Extended Video Analysis in the surveillance scenario.
