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Found 5 papers, 1 papers with code
Multi-modal Multi-label Facial Action Unit Detection with Transformer
Facial Action Coding System is an important approach of facial expression analysis. This paper describes our submission to the third Affective Behavior Analysis (ABAW) 2022 competition.
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement
In this paper, we propose a Two-Stage Network with Channel Attention (denoted as TSN-CA) to enhance the brightness of the low-light image and restore the enhanced images from various kinds of degradation.
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement
We propose a Degradation-Aware Module (DA Module) which can guide the training process of the decomposer and enable the decomposer to be a restorer during the training phase without additional computational cost in the test phase.
A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis
To tackle this problem, this paper presents a semi-supervised model with a mean teacher framework to leverage additional unlabeled data.
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
We propose a Noise and Color Bias Control module (NCBC Module) that contains a convolutional neural network and two loss functions (noise loss and color loss).
