Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

打谷工具

Affluence

A Decoupled Learning Scheme for Real-World Burst Denoising from Raw Images,enoising performance than its single-frame counterparts. However, existing learning based burst denoising methods are limited by two factors. On one hand, most of the models are trained on video sequences with synthetic noise. When applied to real-world raw image sequences, visual artifacts often ap

附录

Global-and-Local Relative Position Embedding for Unsupervised Video Summarization, frames. The necessity of them is more obvious, especially for unsupervised learning. One possible solution is to utilize a well-known technique in the field of natural language processing for long-term dependency and sequential property: self-attention with relative position embedding (RPE). Howeve

令人苦恼

会议

STYX

CenterNet Heatmap Propagation for Real-Time Video Object Detection,w makes it difficult to apply in real-time scenarios. Moreover, adapting directly existing methods to a one-stage detector is inefficient or infeasible. In this work, we introduce a method based on a one-stage detector called CenterNet. We propagate the previous reliable long-term detection in the f

Ganglion-Cyst

MIRTH

天然热喷泉

Fixing Localization Errors to Improve Image Classification,, Class Activation Map (CAM) provides an attractive solution that visualizes class-specific discriminative regions in an input image. The remarkable ability of CAMs to locate class discriminating regions has been exploited in weakly-supervised segmentation and localization tasks. In this work, we ex

小母马