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Found 12 papers, 5 papers with code
Overfitted image coding at reduced complexity
Such codecs include Cool-chic, which presents image coding performance on par with VVC while requiring around 2000 multiplications per decoded pixel.
Cool-chic video: Learned video coding with 800 parameters
We propose a lightweight learned video codec with 900 multiplications per decoded pixel and 800 parameters overall.
Efficient Predictive Coding of Intra Prediction Modes
The high efficiency video coding (HEVC) standard and the joint exploration model (JEM) codec incorporate 35 and 67 intra prediction modes (IPMs) respectively, which are essential for efficient compression of Intra coded blocks.
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions.
Federated Adversarial Training with Transformers
Adversarial training (AT) is found to be the most promising approach against evasion attacks and it is widely studied for convolutional neural network (CNN).
Lightweight Hardware Transform Design for the Versatile Video Coding 4K ASIC Decoders
The proposed module has been integrated in an ASIC UHD decoder targeting energy-aware decoding of VVC videos on consumer devices.
Conditional Coding and Variable Bitrate for Practical Learned Video Coding
This paper introduces a practical learned video codec.
Conditional Coding for Flexible Learned Video Compression
This paper introduces a novel framework for end-to-end learned video coding.
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection
Moreover, the state-of-the-art detection techniques have been designed for specific attacks or broken by others, need knowledge about the attacks, are not consistent, increase model parameters overhead, are time-consuming, or have latency in inference time.
Optical Flow and Mode Selection for Learning-based Video Coding
MOFNet aims at computing and conveying the Optical Flow and a pixel-wise coding Mode selection.
ModeNet: Mode Selection Network For Learned Video Coding
In this paper, a mode selection network (ModeNet) is proposed to enhance deep learning-based video compression.
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification
However, all the works proposed in the literature for generating adversarial examples have used the $L_{p}$ norms ($L_{0}$, $L_{2}$ and $L_{\infty}$) as distance metrics to quantify the similarity between the original image and the adversarial example.
