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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Nov 201819922001200920172026
4 results for “Aff-Wild2”
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognitioncs.CV

Automatic understanding of human affect using visual signals is a problem that has attracted significant interest over the past 20 years. However, human emotional states are quite complex. To appraise such states displayed in real-world settings, we need expressive emotional descriptors that are capable of capturing an…

2018-11-11abs ↗pdf ↗
Analysing Affective Behavior in the First ABAW 2020 Competitioncs.LG

First ABAW 2020 Competition analyzes affective behavior tasks.

problem Automatic analysis of valence-arousal, basic expressions, and action units in real-world scenarios.
method Provided Aff-Wild2 database, described Challenges, evaluation metrics, and top-performing systems.
result Demonstrated the feasibility of automatic affective behavior analysis in real-world settings.
Affective Behavior AnalysisABAW 2020Aff-Wild2Face and Gesture RecognitionValence-Arousal Estimation
2020-01-30abs ↗pdf ↗
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Datasetcs.LG

Paper presents a CNN-RNN method for multi-dimensional emotion recognition in-the-wild.

problem Dimensional emotion recognition in real-world scenarios.
method Pre-training with Aff-Wild and Aff-Wild2, extracting low-, mid-, and high-level features, using RNN subnets in a multi-task framework, and fusion of networks.
result Our approach outperformed state-of-the-art methods using only visual information.
emotion recognitionCNN-RNNmulti-modalin-the-wildOMG-Emotion
2019-10-03abs ↗pdf ↗