In this paper, we focus on fine-grained image-to-image transformation towards visual recognition, i.e., transform- ing an image with a fine-grained category to ...
Jan 12, 2020 · In this paper, we aim at transforming an image with a fine-grained category to synthesize new images that preserve the identity of the input ...
Jan 12, 2020 · In this paper, we aim at transforming an image with a fine-grained category to synthesize new images that preserve the identity of the input ...
People also ask
What are the steps involved in image recognition?
How is a transformed image created?
In this paper, we aim at transforming an image with a fine-grained category to synthesize new images that preserve the identity of the input image, which can ...
In this paper, we focus on fine-grained image-to-image transformation towards visual recognition, i.e., transform- ing an image with a fine-grained category to ...
Supplementary Materials of Fine-grained Image-to-Image Transformation towards Visual Recognition ... In each example, the images in the left and right are input ...
Towards addressing this problem, we propose an iterative matrix square root normalization method for fast end-to-end training of global covariance pooling ...
In this chapter, we systematically sort out deep learning based approaches of fine-grained image recognition with different learning paradigms, ...
This homepage lists some representative papers/codes/datasets all about deep learning based fine-grained image analysis, including fine-grained image ...
First, we learn a model to describe the visual appearance of objects using non-expert image descriptions. We then train a fine-grained textual similarity model ...
Missing: Transformation | Show results with:Transformation