Intensity|Aware Loss for Dynamic Facial Expression Recognition in ...

Intensity-Aware Loss for Dynamic Facial Expression Recognition in ...

We introduce the intensity-aware loss (IAL) in the training process to help the network distinguish the samples with relatively low expression intensities.

Intensity-Aware Loss for Dynamic Facial Expression Recognition in ...

Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild. Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao*. University of Science and ...

Intensity-aware loss for dynamic facial expression recognition in the ...

To tackle this problem, we propose the global convolution-attention block (GCA) to rescale the channels of the feature maps. In addition, we introduce the ...

muse1998/IAL-for-Facial-Expression-Recognition - GitHub

IAL-for-Facial-Expression-Recognition. Dynamic Facial Expression Recognition. main.py -- contains the code of the proposed intensity-aware loss modules.

Intensity-Aware Loss for Dynamic Facial Expression Recognition in ...

Li et al. (2023) [22] contributed to intensity-adaptive loss for dynamic facial expression recognition by integrating a global attentional bias (GCA) block and ...

Dynamic Facial Expression Recognition on DFEW - Papers With Code

14. IAL. 69.24, 55.71. Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild ; 15. NR-DFERNet. 68.19, 54.21. NR-DFERNet: Noise-Robust ...

Dynamic Facial Expression Recognition - Papers With Code

In this paper, we divide a video into several short clips for processing and propose a clip-aware emotion-rich feature learning network (CEFLNet) for robust ...

Adapting Landmark-Aware Image Models for Facial Expression ...

Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and ...

Adapting Landmark-Aware Image Models for Facial Expression ...

Abstract: Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and ...

Harvard

Li, H., Niu, H., Zhu, Z. and Zhao, F. (2023) “Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild”, Proceedings of the AAAI ...

Noise-Robust Network for Dynamic Facial Expression Recognition

A noise-robust dynamic facial expression recognition network (NR-DFERNet), which can effectively reduce the interference of noisy frames on the DFER task, ...

Frame Level Emotion Guided Dynamic Facial Expression ...

Intensity-aware loss for dynamic facial expression recogni- tion in the wild. arXiv preprint arXiv:2208.10335, 2022. 1,. 2, 6, 7, 8. [34] Hanting Li, Mingzhe ...

SlowR50-SA: A Self-Attention Enhanced Dynamic Facial Expression ...

Facial expression recognition is a crucial component in the larger context of emotional recognition. It entails the analysis of the facial expressions of ...

Rethinking the Learning Paradigm for Dynamic Facial Expression ...

[21] propose an Intensity Aware Loss to account for the large intra-class and small inter-class differ- ences in DFER and force the network to pay extra atten-.

Former-DFER: Dynamic Facial Expression Recognition Transformer

Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild · Computer Science. AAAI Conference on Artificial Intelligence · 2023.

Geometry cues-aware facial expression recognition based on graph ...

A new and efficient method, namely geometry cues-aware based on graph convolutional network (GCANet), is proposed in this paper for FER in-the-wild datasets to ...

similar - arxiv-sanity

Facial Expression Recognition (FER) is a machine learning problem that deals with recognizing human facial expressions. While existing work has achieved ...

Prompting Visual-Language Models for Dynamic Facial Expression ...

[22] Hanting Li, Hongjing Niu, Zhaoqing Zhu, and Feng Zhao. Intensity-aware loss for dynamic facial expression recognition in the wild. In AAAI, pages 67–75, ...

EvelynFan/AWESOME-FER: Top conferences & Journals ... - GitHub

... Dynamic Facial Expression Recognition [paper][:dizzy::dizzy:] ... (2019) Outlier-Suppressed Triplet Loss with Adaptive Class-Aware Margins for Facial Expression ...

Dynamic multi-channel metric network for joint pose-aware and ...

Facial expression recognition (FER) is challenging because the appearance of an expression varies significantly depending on head pose and inter-subject ...