This paper presents a detailed study of improving visual representations for vision language (VL)tasks and develops an improved object detection model to provide object-centric representations of ...

By extending integrated competition hypothesis, this paper presents an object-based visual attention model, which selects one object of interest using low-dimensional features, resulting that visual ...

May. 2nd, 2024: Vision Mamba (Vim) is accepted by ICML2024. 🎉 Conference page can be found here.. Feb. 10th, 2024: We update Vim-tiny/small weights and training scripts. By placing the class token at ...

Project Page | Paper. We present Visual Object Networks (VON), an end-to-end adversarial learning framework that jointly models 3D shapes and 2D images. Our model can synthesize a 3D shape, its ...

However, evidence of texture bias in dCNN models (44–46) of the ventral visual stream suggests that it is possible to encode features useful for discriminating visual object categories without ...

This paper presents a new visual tracking framework based on an adaptive color attention tuned local sparse model. The histograms of sparse coefficients of all patches in an object are pooled together ...

1 Oxford Centre for Computational Neuroscience, Oxford, United Kingdom; 2 Department of Computer Science, University of Warwick, Coventry, United Kingdom; First, neurophysiological evidence for the ...