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FAVE: Foveated Adaptive Visual Encoding for Efficient Fine-Grained Visual Understanding
Fine-grained visual understanding depends on local detail, yet visual encoders face a trade-off between costly full-image high-resolution processing and compact global encoding that can weaken such evidence. Inspired by human active vision, we separate where to look from what to encode. We focus on
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