# The Replica Dataset: A Digital Replica of Indoor Spaces

We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale.

79
2.08 stars / hour

# Character Region Awareness for Text Detection

Scene text detection methods based on neural networks have emerged recently and have shown promising results.

72
1.19 stars / hour

In exploring a more effective approach, we find that the key to a successful instance segmentation cascade is to fully leverage the reciprocal relationship between detection and segmentation.

106
1.14 stars / hour

# Making Convolutional Networks Shift-Invariant Again

The well-known signal processing fix is anti-aliasing by low-pass filtering before downsampling.

186
0.94 stars / hour

# U-Net: Convolutional Networks for Biomedical Image Segmentation

18 May 2015mateuszbuda/brain-segmentation-pytorch

There is large consent that successful training of deep networks requires many thousand annotated training samples.

65
0.94 stars / hour

# Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

4 Sep 2018asyml/texar-pytorch

We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks that transforms any inputs into natural language, such as machine translation, summarization, dialog, content manipulation, and so forth.

112
0.81 stars / hour

# Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Recent works have shown the effectiveness of randomized smoothing as a scalable technique for building neural network-based classifiers that are provably robust to $\ell_2$-norm adversarial perturbations.

59
0.65 stars / hour

# Pose2Seg: Detection Free Human Instance Segmentation

We demonstrate that our pose-based framework can achieve better accuracy than the state-of-art detection-based approach on the human instance segmentation problem, and can moreover better handle occlusion.

139
0.61 stars / hour

# YOLACT: Real-time Instance Segmentation

4 Apr 2019dbolya/yolact

Then we produce instance masks by linearly combining the prototypes with the mask coefficients.

762
0.46 stars / hour

# Sogou Machine Reading Comprehension Toolkit

28 Mar 2019sogou/SMRCToolkit

In this paper, we present a Sogou Machine Reading Comprehension (SMRC) toolkit that can be used to provide the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

809
0.38 stars / hour