Small object detection is a challenging problem in computer vision. It has been widely
applied in defense military, transportation, industry, etc. To facilitate in-depth understanding …

With the development of Internet technology and the popularity of digital devices, Content-
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …

While image retrieval and instance recognition techniques are progressing rapidly, there is a
need for challenging datasets to accurately measure their performance--while posing novel …

Solving real world problems with embedded neural networks requires both training
algorithms that achieve high performance and compatible hardware that runs in real time …

In this paper we establish rigorous benchmarks for image classifier robustness. Our first
benchmark, ImageNet-C, standardizes and expands the corruption robustness topic, while …

Object detection-the computer vision task dealing with detecting instances of objects of a
certain class (eg,'car','plane', etc.) in images-attracted a lot of attention from the community …

Faster R-CNN is a well-known approach for object detection which combines the generation
of region proposals and their classification into a single pipeline. In this paper we apply …

In this paper we propose a method for logo recognition using deep learning. Our recognition
pipeline is composed of a logo region proposal followed by a Convolutional Neural Network …