2024-04-04: Paper Summary: DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding

Figure 1. An example from DeepPatent2 extraction results for US Design Patent #0836880 (Figure 1 in DeepPatent2 ) Introduction Technical illustrations and drawings, unlike natural images, are designed for straightforward human comprehension, focusing on details such as strokes, lines, and shading rather than colors and gradients ( Carney and Levin, 2002 ) [2]. While computer vision has extensively studied natural images for object recognition and understanding context, technical drawings, prevalent in design patents, remain less explored. These drawings do not contain rich information such as color and gradient as appearing in natural images, making them distinct from typical natural images ( DeepPatent ) [6]. Recent developments in sketch-based datasets like QuickDraw [3], TU-Berlin [4], and ImageNet-Sketch [5] have provided valuable resources for sketch-based image retrieval. In this blog, we summarize our paper titled, " DeepPatent...