Dynamic Facial Expression Recognition

13 papers with code • 3 benchmarks • 3 datasets

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Use these libraries to find Dynamic Facial Expression Recognition models and implementations
2 papers
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Most implemented papers

Deep Residual Learning for Image Recognition

tensorflow/models CVPR 2016

Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

google-research/vision_transformer ICLR 2021

While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited.

Learning Spatiotemporal Features with 3D Convolutional Networks

facebookarchive/C3D ICCV 2015

We propose a simple, yet effective approach for spatiotemporal feature learning using deep 3-dimensional convolutional networks (3D ConvNets) trained on a large scale supervised video dataset.

Former-DFER: Dynamic Facial Expression Recognition Transformer

zengqunzhao/Former-DFER ACM International Conference on Multimedia 2021

Specifically, the proposed Former-DFER mainly consists of a convolutional spatial transformer (CS-Former) and a temporal transformer (T-Former).

Clip-aware expressive feature learning for video-based facial expression recognition

CVLab-Liuyuanyuan/CEFLNet Information Sciences 2022

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 video-based FER.

Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild

muse1998/IAL-for-Facial-Expression-Recognition 19 Aug 2022

One of the main reasons is that video sequences often contain frames with different expression intensities, especially for the facial expressions in the real-world scenarios, while the images in SFER frequently present uniform and high expression intensities.

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition

faceeyes/m3dfel CVPR 2023

Dynamic Facial Expression Recognition (DFER) is a rapidly developing field that focuses on recognizing facial expressions in video format.

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition

sunlicai/mae-dfer 5 Jul 2023

Dynamic facial expression recognition (DFER) is essential to the development of intelligent and empathetic machines.

Prompting Visual-Language Models for Dynamic Facial Expression Recognition

zengqunzhao/dfer-clip 25 Aug 2023

For the visual part, based on the CLIP image encoder, a temporal model consisting of several Transformer encoders is introduced for extracting temporal facial expression features, and the final feature embedding is obtained as a learnable "class" token.

From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

FER-LMC/S2D 9 Dec 2023

And the TMAs capture and model the relationships of dynamic changes in facial expressions, effectively extending the pre-trained image model for videos.