ImageBind: One Embedding Space To Bind Them All
CVPR'23, 2023. [All Versions]. [Project]. This work presents ImageBind, an approach to learn a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. The authors show that all combinations of paired data are not necessary to train…
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CVPR'19, 2019. [All Versions]. [Project]. Humans perceive the world using multi-modal sensory inputs such as vision, audition, and touch. This work investigates the cross-modal connection between vision and touch. The main challenge in this cross-domain modeling task lies in…
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AGI & CoCoSci › Papers > Concepts > AI Concept Representation: “CVPR'23, 2023. [All Versions]. [Project]. This work presents ImageBind, an approach to learn a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. The authors show that all combinations of paired data are not necessary to train…”