Trending Research

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

17 Sep 2020szq0214/MEAL-V2

In this paper, we introduce a simple yet effective approach that can boost the vanilla ResNet-50 to 80%+ Top-1 accuracy on ImageNet without any tricks.

IMAGE CLASSIFICATION

145
2.74 stars / hour

Old Photo Restoration via Deep Latent Space Translation

14 Sep 2020microsoft/Bringing-Old-Photos-Back-to-Life

Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.

IMAGE RESTORATION

164
1.34 stars / hour

Bringing Old Photos Back to Life

CVPR 2020 microsoft/Bringing-Old-Photos-Back-to-Life

Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.

IMAGE RESTORATION

164
1.34 stars / hour

Depth-Aware Video Frame Interpolation

CVPR 2019 baowenbo/DAIN

The proposed model then warps the input frames, depth maps, and contextual features based on the optical flow and local interpolation kernels for synthesizing the output frame.

OPTICAL FLOW ESTIMATION VIDEO FRAME INTERPOLATION

5,064
1.09 stars / hour

WaveGrad: Estimating Gradients for Waveform Generation

2 Sep 2020lmnt-com/wavegrad

This paper introduces WaveGrad, a conditional model for waveform generation through estimating gradients of the data density.

SPEECH SYNTHESIS TEXT-TO-SPEECH SYNTHESIS

52
0.47 stars / hour

NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets

30 Jul 2020victordibia/neuralqa

Existing tools for Question Answering (QA) have challenges that limit their use in practice.

LANGUAGE MODELLING QUESTION ANSWERING

131
0.46 stars / hour

Dialogue Response Ranking Training with Large-Scale Human Feedback Data

15 Sep 2020golsun/DialogRPT

Particularly, our ranker outperforms the conventional dialog perplexity baseline with a large margin on predicting Reddit feedback.

CONVERSATIONAL RESPONSE SELECTION

47
0.45 stars / hour

ConveRT: Efficient and Accurate Conversational Representations from Transformers

9 Nov 2019golsun/DialogRPT

General-purpose pretrained sentence encoders such as BERT are not ideal for real-world conversational AI applications; they are computationally heavy, slow, and expensive to train.

CONVERSATIONAL RESPONSE SELECTION INTENT CLASSIFICATION QUANTIZATION

47
0.45 stars / hour

Background Matting: The World is Your Green Screen

CVPR 2020 senguptaumd/Background-Matting

To bridge the domain gap to real imagery with no labeling, we train another matting network guided by the first network and by a discriminator that judges the quality of composites.

IMAGE MATTING

3,653
0.40 stars / hour

deepmind-research

24 Jun 2020deepmind/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

ATARI GAMES DQN REPLAY DATASET MUJOCO GAMES

2,224
0.36 stars / hour