no code implementations • 3 May 2023 • Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar, S Balasubramanian
Instead of discarding the non-confident samples, we impose consistency in the negative classes of those non-confident samples to guide the model to learn better in the positive class.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 17 Mar 2023 • Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar, S Balasubramanian
The fifth Affective Behavior Analysis in-the-wild (ABAW) competition has multiple challenges such as Valence-Arousal Estimation Challenge, Expression Classification Challenge, Action Unit Detection Challenge, Emotional Reaction Intensity Estimation Challenge.
1 code implementation • 22 Aug 2022 • Darshan Gera, Naveen Siva Kumar Badveeti, Bobbili Veerendra Raj Kumar, S Balasubramanian
To handle noisy annotations, we propose a dynamic FER learning framework (DNFER) in which clean samples are selected based on dynamic class specific threshold during training.
Facial Expression Recognition Facial Expression Recognition (FER)
1 code implementation • 19 Jul 2022 • Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar, S Balasubramanian
Automatic affect recognition has applications in many areas such as education, gaming, software development, automotives, medical care, etc.