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Found 10 papers, 3 papers with code
On Support Relations Inference and Scene Hierarchy Graph Construction from Point Cloud in Clustered Environments
Over the years, scene understanding has attracted a growing interest in computer vision, providing the semantic and physical scene information necessary for robots to complete some particular tasks autonomously.
Modeling of Memory Mechanisms in Cerebral Cortex and Simulation of Storage Performance
At the intersection of computation and cognitive science, graph theory is utilized as a formalized description of complex relationships and structures.
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
The success of self-supervised contrastive learning hinges on identifying positive data pairs, such that when they are pushed together in embedding space, the space encodes useful information for subsequent downstream tasks.
Important Clues that Facilitate Visual Emergence: Three Psychological Experiments
The picture Dalmatian dog is known for its use in explaining visual emergence.
Object Detection based on the Collection of Geometric Evidence
Shape features are more stable and more distinguishing than appearance features, color features, grayscale features, or gradient features.
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Adversarial attacks on thermal infrared imaging expose the risk of related applications.
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Building upon this foundation, we uncover the pervasive role of artifacts carrying adversarial perturbations in the physical world.
Probability Trajectory: One New Movement Description for Trajectory Prediction
Based on this unique description, we develop one novel trajectory prediction method, called social probability.
A Neural Dynamic Model based on Activation Diffusion and a Micro-Explanation for Cognitive Operations
The neural mechanism of memory has a very close relation with the problem of representation in artificial intelligence.
The Evolution of Concept-Acquisition based on Developmental Psychology
A conceptual system with rich connotation is key to improving the performance of knowledge-based artificial intelligence systems.
