Abstract: We present an efficient encoder-free approach for video-language understanding that achieves competitive performance while significantly reducing computational overhead. Current ...
Abstract: Although the vision transformer-based methods (ViTs) exhibit an excellent performance than convolutional neural networks (CNNs) for image recognition tasks, their pixel-level semantic ...
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