{"url":"/sota/cross-modal-retrieval-on-soundingearth","task":{"name":"Cross-Modal Retrieval","url":"/task/cross-modal-retrieval","note":null},"dataset":{"name":"SoundingEarth","url":"/dataset/soundingearth"},"category":"Computer Vision","categories":["Computer Vision","Natural Language Processing"],"category_note":null,"description":"**Cross-Modal Retrieval (CMR)** is a task of retrieving items across different modalities, such as image, text, video, and audio. The core challenge of CMR is the *heterogeneity gap*, which arises because data from different modalities have distinct representations, making direct comparison difficult.  To address this, most CMR methods focus on learning a *shared latent embedding space*. 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