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Found 7 papers, 2 papers with code
ICML 2023 Topological Deep Learning Challenge : Design and Results
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning.
Visual Attention Methods in Deep Learning: An In-Depth Survey
Inspired by the human cognitive system, attention is a mechanism that imitates the human cognitive awareness about specific information, amplifying critical details to focus more on the essential aspects of data.
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
3D human pose estimation can be handled by encoding the geometric dependencies between the body parts and enforcing the kinematic constraints.
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3D Human Pose Estimation
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Learning Discriminative Representations for Multi-Label Image Recognition
Multi-label recognition is a fundamental, and yet is a challenging task in computer vision.
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
In it, a Defensive Feature Layer (DFL) is integrated with a well-known DNN architecture which assists in neutralizing the effects of illegitimate perturbation samples in the feature space.
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Several research studies have been conducted to address this issue and build more robust deep learning models.
Visual Affordance and Function Understanding: A Survey
Nowadays, robots are dominating the manufacturing, entertainment and healthcare industries.
