Papers3

#multimodal embeddings

Unified Vision-Language Modeling via Concept Space Alignment

Yifu Qiu, Paul-Ambroise Duquenne et al.Mar 1arXiv

The paper builds v-Sonar, a bridge that maps images and videos into the same meaning-space as text called Sonar, so all modalities “speak” the same language.

#v-Sonar#OmniSONAR#concept space alignment

Not triaged yet

ObjEmbed: Towards Universal Multimodal Object Embeddings

Intermediate

Shenghao Fu, Yukun Su et al.Feb 2arXiv

ObjEmbed teaches an AI to understand not just whole pictures, but each object inside them, and to link those objects to the right words.

#object embeddings#IoU embedding#visual grounding

Not triaged yet

Relational Visual Similarity

Intermediate

Thao Nguyen, Sicheng Mo et al.Dec 8arXiv

Most image-similarity tools only notice how things look (color, shape, class) and miss deeper, human-like connections.

Not triaged yet