Grefel Clawson

Grefel H Clawson, Surprise, AZ View Details

Cities: Surprise AZ, Mankato MN

Grefel H Clawson, Las Vegas, NV View Details

Cities: Las Vegas NV

Grefel H Clawson, Henderson, NV View Details

Possible Relatives: Grefel H Clawson, William Joseph Clawson

Grefel H Clawson, Las Vegas, NV View Details

Grefel H Clawson View Details

Possible Relatives: Grefel H Clawson, William Joseph Clawson

Grefel H Clawson, Mankato, MN View Details

Address:****** Augusta Dr. Phone Number: (507) 720-****

GReFEL: Geometry-Aware Reliable Facial Expression Learning ... - Springer

link.springer.com › content › pdf › 10.1007 › 978-981-96-0911-6_27

tackle these, we introduce GReFEL, leveraging Vision Transformers and a facial geometry-aware anchor-based reliability balancing module to combat imbalanced data distributions, bias, and uncertainty in facial expression learning. Integrating local and global data with anchors that learn different facial data points and structural features, our ...

PDF GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias ...

openaccess.thecvf.com › content › ACCV2024 › papers › Wasi_GReFEL_Geometry-Aware_Reliable_Facial_Expression_Learning_under_Bias_and_Imbalanced_ACCV_2024_paper.pdf

GReFEL 3 Researchersuseseveralstrategieslikeunsupervisedpartitioning,leveraging unlabeled data [23,40], using loss functions [6,15], ViTs [19,25,46], attention-

GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias ...

arxiv.org › html › 2410.15927v1

GReFEL combines attentive feature extraction with reliability balancing using heavy augmentation and data refinement alongside a Vision Transformer (ViT). Our method effectively handles inter-class similarity, intra-class disparity, and label ambiguity. By incorporating trainable anchor points in embedding space to learn and differentiate ...

ACCV 2024 Open Access Repository

openaccess.thecvf.com › content › ACCV2024 › html › Wasi_GReFEL_Geometry-Aware_Reliable_Facial_Expression_Learning_under_Bias_and_Imbalanced_ACCV_2024_paper.html

To tackle these, we introduce GReFEL, leveraging Vision Transformers and a facial geometry-aware anchor-based reliability balancing module to combat imbalanced data distributions, bias, and uncertainty in facial expression learning. Integrating local and global data with anchors that learn different facial data points and structural features ...

Paper page - GReFEL: Geometry-Aware Reliable Facial Expression Learning ...

huggingface.co › papers › 2410.15927

Reliable facial expression learning (FEL) involves the effective learning of distinctive facial expression characteristics for more reliable, unbiased and accurate predictions in real-life settings. However, current systems struggle with FEL tasks because of the variance in people's facial expressions due to their unique facial structures, movements, tones, and demographics.

GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias ...

www.aimodels.fyi › papers › arxiv › grefel-geometry-aware-reliable-facial-expression-learning

The researchers demonstrate that GReFEL outperforms state-of-the-art methods on benchmark facial expression recognition tasks, especially in scenarios with biased or imbalanced data. This suggests that geometry-aware modeling can be a powerful technique for building reliable and fair facial expression AI systems. Technical Explanation

Breaking Bias in Facial Expression Recognition - LinkedIn

www.linkedin.com › pulse › breaking-bias-facial-expression-recognition-timothy-llewellynn-hzfze

In extensive testing, GReFEL consistently outperformed state-of-the-art models across multiple datasets: 72.48% accuracy on Aff-Wild2 : A 3.3% improvement over the previous leader, POSTER++.

MSU student honored in Clawson on 2-year anniversary of deadly shooting

www.fox2detroit.com › news › msu-student-honored-clawson-2-year-anniversary-deadly-shooting

On Thursday, a vigil was held for one of the victims, 20-year-old Alexandria Verner in Clawson. The backstory: On Feb. 13, 2023, the shooter, Anthony McRae, killed Arielle Anderson, Brian Fraser ...

arXiv:2410.15927v1 [cs.CV] 21 Oct 2024

arxiv.org › pdf › 2410.15927

Our approach, GReFEL, extracts features using a cross-window-based ViT to get both local and global informa-tion, then collects facial landmark geometry data utilizing geometry-aware anchor points and attention mechanisms to learn about distinctive facial data for different emotions ef-fectively, avoiding bias, imbalance, and uncertainties and