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Update README image urls (#2)

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  1. README.md +4 -4
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@@ -20,9 +20,9 @@ Recent advances in large vision-language models have revolutionized the image cl
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- | <img src="https://altndrr.github.io/vic/assets/images/task_left.png"> | <img src="https://altndrr.github.io/vic/assets/images/task_right.png"> |
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- | Vision Language Model (VLM)-based classification | Vocabulary-free Image Classification |
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  </div>
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@@ -30,7 +30,7 @@ In this work, we first empirically verify that representing this semantic space
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- | <img src="https://altndrr.github.io/vic/assets/images/method.png"> |
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  | Overview of CaSED. Given an input image, CaSED retrieves the most relevant captions from an external database filtering them to extract candidate categories. We classify image-to-text and text-to-text, using the retrieved captions centroid as the textual counterpart of the input image. |
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+ | <img src="https://alessandroconti.me/papers/assets/2306.00917/images/task_left.webp"> | <img src="https://alessandroconti.me/papers/assets/2306.00917/images/task_right.webp"> |
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+ | :-----------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: |
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+ | Vision Language Model (VLM)-based classification | Vocabulary-free Image Classification |
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  </div>
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+ | <img src="https://alessandroconti.me/papers/assets/2306.00917/images/method.webp"> |
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  | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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  | Overview of CaSED. Given an input image, CaSED retrieves the most relevant captions from an external database filtering them to extract candidate categories. We classify image-to-text and text-to-text, using the retrieved captions centroid as the textual counterpart of the input image. |
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