By Samuel Owusu-Aduomi In politics, image is not merely a reflection but a carefully crafted statement. Donald Trump’s latest official portrait, captured by his chief photographer Daniel Torok, ...

We propose the Unified Visual-Semantic Embeddings (Unified VSE) for learning a joint space of visual representation and textual semantics. The model unifies the embeddings of concepts at different ...

It was often prefixed by the word drákōn, which can be interpreted as either “serpent” or “dragon,” and so visual representations of the ouroboros have also changed between the two.

Article citations More>> Kress, G., & Van Leeuwen, T. (1996). Reading Images: The Grammar of Visual Design (Narrative Representation) (pp. 1-29). London: Routledge. has been cited by the following ...

Figure 1. Framework for quantifying factorization in neural and model representations. (A) A subspace for encoding a variable, for example object identity, in a linearly separable manner can be ...

The Bottom Line The meaning of quantization is to simplify data representation by reducing precision (i.e., the number of bits used). It’s a fundamental process in digital systems, enabling efficient ...

Efficient Visual Representation Learning with Bidirectional State Space Model Lianghui Zhu 1 *, Bencheng Liao 1 *, Qian Zhang 2, Xinlong Wang 3, Wenyu Liu 1, Xinggang Wang 1 📧 1 Huazhong University ...

Finally, they train models for visual representations using masked image modeling and multi-positive contrastive learning. The researchers compare OpenAI’s CLIP regarding top-1 linear probing accuracy ...

Keywords: visual representation, computer vision, neuroscience, learning, deep neural networks Citation: Li T, Zhang Q, Nian F and Shan C (2023) Editorial: Neuroscience-driven visual representation.