From tokens to concepts: how particle models perceive the world

Patch-based vision models exhibit a related class of failure modes: fixed patches may split a single object across multiple tokens or place parts of several objects within one token. This, in turn,  makes it difficult for the model to infer object boundaries and correctly associate features across…

Patch-based vision models exhibit a related class of failure modes: fixed patches may split a single object across multiple tokens or place parts of several objects within one token. This, in turn,  makes it difficult for the model to infer object boundaries and correctly associate features across patches—an instance of the broader visual binding problem in computer vision.

Source: Lambda Labs — Published — Category: Models

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