Abstract: Change detection is an important task in Earth observation with applications in environmental monitoring, urban development, and disaster management. Traditional supervised deep learning ...
Generalized Category Discovery (GCD) aims to identify unlabeled samples by leveraging base knowledge from labeled ones, where the unlabeled set consists of both base and novel classes. Our method, ...
A high-fidelity autoencoder learns to compress K tokens into a single vector and reconstruct them with near-perfect accuracy. A continuous-domain language model then performs autoregressive prediction ...
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