dls-2020 | Deep Learning JP - Part 8

YOLOv4: Optimal Speed and Accuracy of Object Detection

Experience Grounds Language

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

Learning to Simulate Complex Physics with Graph Networks

Pose Manipulation with Identity Preservation

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities

High-Quality Self-Supervised Deep Image Denoising

Designing Network Design Spaces [CVPR2020]

Tracking Objects as Points

CNN – based Density Estimation and CrowdCounting A Survey

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