AI RESEARCH
BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment
arXiv CS.CV
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ArXi:2603.23883v1 Announce Type: new Understanding animal species from multimodal data poses an emerging challenge at the intersection of computer vision and ecology. While recent biological models, such as BioCLIP, have nstrated strong alignment between images and textual taxonomic information for species identification, the integration of the audio modality remains an open problem. We propose BioVITA, a novel visual-textual-acoustic alignment framework for biological applications. BioVITA involves (i) a.