Low-Light Image and Video Enhancement Using Deep Learning: A Survey
Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. Recent advances in this area are dominated by …
A Highly Efficient Model to Study the Semantics of Salient Object Detection
CNN-based salient object detection (SOD) methods achieve impressive performance. However, the way semantic information is encoded in them and whether they are category-agnostic is less explored. On…
Online Attention Accumulation for Weakly Supervised Semantic Segmentation
Object attention maps generated by image classifiers are usually used as priors for weakly supervised semantic segmentation. However, attention maps usually locate the most discriminative object pa…
Concealed Object Detection
We present the first systematic study on concealed object detection (COD), which aims to identify objects that are visually embedded in their background. The high intrinsic similarities between the…
Deep Hough Transform for Semantic Line Detection
We focus on a fundamental task of detecting meaningful line structures, a.k.a. , semantic line, in natural scenes. Many previous methods regard this problem as a special case of object detection an…
SANet : A Slice-Aware Network for Pulmonary Nodule Detection
Lung cancer is the most common cause of cancer death worldwide. A timely diagnosis of the pulmonary nodules makes it possible to detect lung cancer in the early stage, and thoracic computed tomogra…
Re-Thinking Co-Salient Object Detection
In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing extension of salient object detection (SOD)…
Correction to “Nonlinear Regression via Deep Negative Correlation Learning”
Reports on changes to the author information presented in the above named paper.
Ordered or Orderless : A Revisit for Video Based Person Re-Identification
Is recurrent network really necessary for learning a good visual representation for video based person re-identification (VPRe-id)? In this paper, we first show that the common practice of employin…
Res2Net : A New Multi-Scale Backbone Architecture
Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-sc…
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