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Found 3 papers, 2 papers with code
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities
Recent advancements in Vision-Language (VL) models have sparked interest in their deployment on edge devices, yet challenges in handling diverse visual modalities, manual annotation, and computational constraints remain.
CVSNet: A Computer Implementation for Central Visual System of The Brain
In computer vision, different basic blocks are created around different matrix operations, and models based on different basic blocks have achieved good results.
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion
Our work presents a new lens to understand these models better by focusing on their handling of visual illusions -- a complex interplay of perception and logic.
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