Dataset for Out-of-distribution detection read more of WildCapture

Architecture and GAN-based training procedure for obtaining a fast neural network which enable better bitrate performances respect to the H.265 codec for the same quality, or better quality at the same bitrate. read more of Fast SR-UNet

Dataset of 4D dynamic sequences of 3D faces with varying facial expressions read more of The Florence 4D Facial Expression Dataset

d-Simplex classifiers achieve stationary, compatible features, enabling seamless model updates in retrieval systems. read more of Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements

A novel dataset of dynamic sequences of 3D face models, where a combination of synthetic and real identities exhibit an unprecedented variety of 4D facial expressions, with variations that include the classical neutral-apex transition, but generalize to e... read more of CL2R: Compatible Lifelong Learning Representations

Using fixed classifiers derived from regular polytopes to enhance neural network efficiency and accuracy by generating stationary, maximally-separated feature representations. read more of Regular Polytope Networks

Elastic Feature Consolidation (EFC), exploits a tractable second-order approximation of feature drift based on an Empirical Feature Matrix (EFM). read more of Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning

We propose a more realistic, physics-based color data augmentation - which we call Planckian Jitter. read more of Planckian jitter: enhancing the color quality of self-supervised visual representations

We propose a two-stage learning baseline with a learnable weight scaling layer for reducing the bias caused by long-tailed distribution in LT-CIL and which in turn also improves the performance of conventional CIL due to the limited exemplars. read more of Long-Tailed Class Incremental Learning

Synthetic Social Agents (SSA) is intended to be an oversimplification of real social behaviors, yet offers a challenging shift of attention from individual motion to social forces. read more of Synthetic Social Agents (SSA) dataset

Neural network based on an end-to-end trainable working memory, which acts as an external storage where information about each agent can be continuously written, updated and recalled read more of Smemo: Social memory for trajectory forecasting

Image Auto Tagging technology enables automatic assignment of relevant tags or keywords to vast collections of images and videos. read more of Auto Tagging