An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval

18 Apr 2019fmaglia/LSH_kNN_graph

The application of the diffusion in many computer vision and artificial intelligence projects has been shown to give excellent improvements in performance.

IMAGE RETRIEVAL

2
18 Apr 2019

Influence Maximization via Representation Learning

18 Apr 2019GiorgosPanagopoulos/IMINFECTOR

The first is based on a multi-task neural network that uses logs of diffusion cascades to embed diffusion probabilities between nodes as well as the ability of a node to create massive cascades.

REPRESENTATION LEARNING

2
18 Apr 2019

KPConv: Flexible and Deformable Convolution for Point Clouds

18 Apr 2019HuguesTHOMAS/KPConv

Furthermore, these locations are continuous in space and can be learned by the network.

10
18 Apr 2019

Convolutional neural networks: a magic bullet for gravitational-wave detection?

18 Apr 2019timothygebhard/ggwd

In the last few years, machine learning techniques, in particular convolutional neural networks, have been investigated as a method to replace or complement traditional matched filtering techniques that are used to detect the gravitational-wave signature of merging black holes.

2
18 Apr 2019

No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement

18 Apr 2019mtobeiyf/CEIQ

No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image.

NO-REFERENCE IMAGE QUALITY ASSESSMENT

7
18 Apr 2019

Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

18 Apr 2019wuzhe71/CPD

In this paper, we propose a novel Cascaded Partial Decoder (CPD) framework for fast and accurate salient object detection.

SALIENT OBJECT DETECTION

8
18 Apr 2019

Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization

18 Apr 2019junbaoZHUO/UODTN

We address the unsupervised open domain recognition (UODR) problem, where categories in labeled source domain S is only a subset of those in unlabeled target domain T. The task is to correctly classify all samples in T including known and unknown categories.

5
18 Apr 2019

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

18 Apr 2019derEitel/explainableMS

We hypothesized that using LRP in a naive predictive model would enable us to uncover relevant image features that a trained CNN uses for decision-making.

DECISION MAKING

2
18 Apr 2019

edGNN: a Simple and Powerful GNN for Directed Labeled Graphs

18 Apr 2019guillaumejaume/edGNN

The ability of a graph neural network (GNN) to leverage both the graph topology and graph labels is fundamental to building discriminative node and graph embeddings.

0
18 Apr 2019

CornerNet-Lite: Efficient Keypoint Based Object Detection

18 Apr 2019princeton-vl/CornerNet-Lite

Together these two variants address the two critical use cases in efficient object detection: improving efficiency without sacrificing accuracy, and improving accuracy at real-time efficiency.

REAL-TIME OBJECT DETECTION

539
18 Apr 2019