Deep neural networks have been demonstrated to be vulnerable to adversarial attacks: subtle perturbation can completely change prediction result.
Fooling people with highly realistic fake images generated with Deepfake or GANs brings a great social disturbance to our society.
As the successor of H. 265/HEVC, the new versatile video coding standard (H. 266/VVC) can provide up to 50% bitrate saving with the same subjective quality, at the cost of increased decoding complexity.
Migdal effect provides a new way to search for sub-GeV dark matter.
High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics
A positive semidefinite Toeplitz matrix, which often arises as the finite covariance matrix of a stationary random process, can be decomposed as the sum of a nonnegative multiple of the identity corresponding to a white noise, and a singular term corresponding to a purely deterministic process.
Particularly, a cooking simulator sub-network is proposed to incrementally make changes to food images based on the interaction between ingredients and cooking methods over a series of steps.
In object detection, offset-guided and point-guided regression dominate anchor-based and anchor-free method separately.
In this paper we show that the classical problem of frequency estimation can be formulated and solved efficiently in an empirical Bayesian framework by assigning a uniform a priori probability distribution to the unknown frequency.
A graph neural network (GNN) for image understanding based on multiple cues is proposed in this paper.
Representing procedure text such as recipe for crossmodal retrieval is inherently a difficult problem, not mentioning to generate image from recipe for visualization.