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Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
Elastic Feature Consolidation (EFC), exploits a tractable second-order approximation of feature drift based on an Empirical Feature Matrix (EFM).
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Elastic Feature Consolidation (EFC), exploits a tractable second-order approximation of feature drift based on an Empirical Feature Matrix (EFM).
We propose a more realistic, physics-based color data augmentation - which we call Planckian Jitter.
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.
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.
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
Image Auto Tagging technology enables automatic assignment of relevant tags or keywords to vast collections of images and videos.
The dataset contains 200 4K video sequences for each one of six deep-learning-based super-resolution methods. They correspond to the original 200 videos in BVI-DVC (https://fan-aaron-zhang.github.io/BVI-DVC/). The 1080p versions of these videos have been ...
This model detects upscaled 4k videos and identifies the upscaling model used.
MIDI-to-Audio piano synthesizer based on DDSP.
This is a component which is able to detect shot boundaries, the sampling structure and dynamic keyframes in a videos at a speed of four times faster than real-time.