Penguin-VL is a compact vision-language model family built to study how far multimodal efficiency can be pushed by redesigning the vision encoder, rather than only scaling data or model size.
Abstract: We propose an efficient abnormal event detection model based on a lightweight masked auto-encoder (AE) applied at the video frame level. The novelty of the proposed model is threefold. First ...
Abstract: Action spotting, which temporally localizes specific actions in a video, is an important task for understanding high-level semantic information. In this paper, we formulate the action ...
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