**BLANC** is an automatic estimation approach for document summary quality. The goal is to measure the functional performance of a summary with an objective, reproducible, and fully automated method. BLANC achieves this by measuring the performance boost gained by a pre-trained language model with access to a document summary while carrying out its language understanding task on the document's text.

**Multi-scale Progressive Fusion Network** (MSFPN) is a neural network representation for single image deraining. It aims to exploit the correlated information of rain streaks across scales for single image deraining. 

Specifically, we first generate the Gaussian pyramid rain images using Gaussian kernels to down-sample the original rain image in sequence. A coarse-fusion module (CFM) is designed to capture the global texture information from these multi-scale rain images through recurrent calculation (Conv-[LSTM](https://paperswithcode.com/method/lstm)), thus enabling the network to cooperatively represent the target rain streak using similar counterparts from global feature space. Meanwhile, the representation of the high-resolution pyramid layer is guided by previous outputs as well as all low-resolution pyramid layers. A finefusion module (FFM) is followed to further integrate these correlated information from different scales. By using the channel attention mechanism, the network not only discriminatively learns the scale-specific knowledge from all preceding pyramid layers, but also reduces the feature redundancy effectively. Moreover, multiple FFMs can be cascaded to form a progressive multi-scale fusion. Finally, a reconstruction module (RM) is appended to aggregate the coarse and fine rain information extracted respectively from CFM and FFM for learning the residual rain image, which is the approximation of real rain streak distribution.

MSPFN

Multi-Scale Progressive Fusion Network for Single Image Deraining

BLANC

Fill in the BLANC: Human-free quality estimation of document summaries

A self-supervised learning method to disentangle irregular (anomalous) motion from regular motion in unlabeled videos.

Source	Fill in the BLANC: Human-free quality estimation of document summaries
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com