Large Vision-Language Models often appear impressive on multimodal tasks, but it remains unclear whether they truly reason over visual structure or rely on shortcut-driven pattern matching. Visual ...

Neural network architectures for visual pattern recognition have evolved from early multilayer perceptrons to sophisticated deep models that extract hierarchical features from raw pixel data.

Visual patterns represent the discernible regularity in the visual world. They capture the essential nature of visual objects or scenes. Understanding and modeling visual patterns is a fundamental ...

The model not only deepens our understanding of how bees learn and recognise complex patterns through their movements, but also paves the way for next-generation AI. It demonstrates that future robots ...

From number puzzles to sentence completion and even visual challenges, this pattern recognition cognitive test is designed to challenge your logic skills. Covering key areas such as figure matrices, ...

This repo contains PyTorch implementation of Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution (BPS, CVPR 2026). BPS produces a pattern-balanced condensed dataset via ...