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Combating Data and Target Shifts in Visual Tasks
The rapid advancement of deep learning models for visual tasks has led to significant progress in many domains. However, a key challenge remains: ensuring that models can generalize effectively to unseen samples or novel classes, especially in real-world scenarios where training…
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