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Many research projects use something called "hard negative mining": instead of training on all of the positive instances (e.g., "text" or "object") and all of the negative instance (e.g., "not text" or "not object"), they train on all of the positive instances and a carefully chosen subset of the negative instances. In particular, they omit many of the '...


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