Poster++: A simpler and stronger facial expression recognition network
J Mao, R Xu, X Yin, Y Chang, B Nie, A Huang… - Pattern Recognition, 2024 - Elsevier
The POSTER has achieved SOTA performance in facial expression recognition (FER) by
effectively combining facial landmarks and image features through its two-stream pyramid …
effectively combining facial landmarks and image features through its two-stream pyramid …
Re-labeling imagenet: from single to multi-labels, from global to localized labels
ImageNet has been the most popular image classification benchmark, but it is also the one
with a significant level of label noise. Recent studies have shown that many samples contain …
with a significant level of label noise. Recent studies have shown that many samples contain …
Adamp: Slowing down the slowdown for momentum optimizers on scale-invariant weights
Normalization techniques are a boon for modern deep learning. They let weights converge
more quickly with often better generalization performances. It has been argued that the …
more quickly with often better generalization performances. It has been argued that the …
[HTML][HTML] A hybrid model of ghost-convolution enlightened transformer for effective diagnosis of grape leaf disease and pest
X Lu, R Yang, J Zhou, J Jiao, F Liu, Y Liu, B Su… - Journal of King Saud …, 2022 - Elsevier
Disease and pest are the main factors causing grape yield reduction. Correct and timely
identification of these symptoms are necessary for the vineyard. However, the commonly …
identification of these symptoms are necessary for the vineyard. However, the commonly …
DSResSol: A sequence-based solubility predictor created with Dilated Squeeze Excitation Residual Networks
M Madani, K Lin, A Tarakanova - International Journal of Molecular …, 2021 - mdpi.com
Protein solubility is an important thermodynamic parameter that is critical for the
characterization of a protein's function, and a key determinant for the production yield of a …
characterization of a protein's function, and a key determinant for the production yield of a …
UC-NfNet: Deep learning-enabled assessment of ulcerative colitis from colonoscopy images
M Turan, F Durmus - Medical Image Analysis, 2022 - Elsevier
Ulcerative colitis (UC) belongs to the inflammatory bowel disease (IBD) family, which is
mainly caused by inflammation of the tissue in the colon and rectum. The severity of this …
mainly caused by inflammation of the tissue in the colon and rectum. The severity of this …
An enhanced real-time human pose estimation method based on modified YOLOv8 framework
C Dong, G Du - Scientific Reports, 2024 - nature.com
The objective of human pose estimation (HPE) derived from deep learning aims to
accurately estimate and predict the human body posture in images or videos via the …
accurately estimate and predict the human body posture in images or videos via the …
Rethinking bias mitigation: Fairer architectures make for fairer face recognition
Face recognition systems are widely deployed in safety-critical applications, including law
enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as …
enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as …
A Review of Deep Learning Advancements in Road Analysis for Autonomous Driving
The rapid advancement of autonomous vehicle technology has brought into focus the critical
need for enhanced road safety systems, particularly in the areas of road damage detection …
need for enhanced road safety systems, particularly in the areas of road damage detection …
An enhanced detector for vulnerable road users using infrastructure-sensors-enabled device
J Shi, D Sun, M Kieu, B Guo, M Gao - Sensors, 2023 - mdpi.com
The precise and real-time detection of vulnerable road users (VRUs) using infrastructure-
sensors-enabled devices is crucial for the advancement of intelligent traffic monitoring …
sensors-enabled devices is crucial for the advancement of intelligent traffic monitoring …