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Found 6 papers, 3 papers with code
Learning Memory Augmented Cascading Network for Compressed Sensing of Images
The IDR module is designed to reconstruct the remaining details from the residual measurement vector, and MRU is employed to update the residual measurement vector and feed it into the next IDR module.
A Profit-Maximizing Strategy for Advertising on the e-Commerce Platforms
The online advertising management platform has become increasingly popular among e-commerce vendors/advertisers, offering a streamlined approach to reach target customers.
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing
Existing methods with simple Euclidean distance algorithm indiscriminately optimize the hard and easy examples so that the densities of hard examples are usually incorrectly predicted to be lower or even zero, which results in large counting errors.
Crowd counting with segmentation attention convolutional neural network
With the guidance of an attention mechanism, the proposed SegCrowdNet pays more attention to the human head region and automatically encodes the highly refined density map.
Crowd counting with crowd attention convolutional neural network
Crowd counting is a challenging problem due to the scene complexity and scale variation.
Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
Given an image, we employ an Hourglass Network to infer all the keypoints from different persons indiscriminately as well as the guiding offsets connecting the adjacent keypoints belonging to the same persons.
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Pose Estimation
on CrowdPose
