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Achieve 80.5% Top-1 accuracy in zero-shot EEG-to-image retrieval by mimicking the human visual system, substantially outperforming existing methods.
Radically improve streaming 3D reconstruction by intelligently merging moderately important tokens instead of simply evicting them, leading to state-of-the-art accuracy.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.