
-
Distributed Machine Learning on Mobile Devices: A Survey
In recent years, mobile devices have gained increasingly development wit...
read it
-
Implicit competitive regularization in GANs
Generative adversarial networks (GANs) are capable of producing high qua...
read it
-
Association: Remind Your GAN not to Forget
Neural networks are susceptible to catastrophic forgetting. They fail to...
read it
-
Inverse-Transform AutoEncoder for Anomaly Detection
Reconstruction-based methods have recently shown great promise for anoma...
read it
-
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in ...
read it
-
Real-time Scene Text Detection with Differentiable Binarization
Recently, segmentation-based methods are quite popular in scene text det...
read it
-
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Small and cluttered objects are common in real-world which are challengi...
read it
-
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation
The recent development of light-weighted neural networks has promoted th...
read it
-
Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts
Understanding sequential information is a fundamental task for artificia...
read it
-
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm
Matrix completion has attracted much interest in the past decade in mach...
read it
-
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching
In this paper, we propose a novel matching based tracker by investigatin...
read it
-
3D-Rotation-Equivariant Quaternion Neural Networks
This paper proposes a set of rules to revise various neural networks for...
read it
-
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection
Deep learning demands a huge amount of well-labeled data to train the ne...
read it
-
A Unified End-to-End Framework for Efficient Deep Image Compression
Image compression is a widely used technique to reduce the spatial redun...
read it
-
A Regularization Approach for Instance-Based Superset Label Learning
Different from the traditional supervised learning in which each trainin...
read it
-
Natural Image Matting via Guided Contextual Attention
Over the last few years, deep learning based approaches have achieved ou...
read it
-
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks
Why heavily parameterized neural networks (NNs) do not overfit the data ...
read it
-
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer
Style transfer describes the rendering of an image semantic content as d...
read it
-
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Molecular graph generation is a fundamental problem for drug discovery a...
read it
-
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System
In this paper, we present a multi-camera visual odometry (VO) system for...
read it
-
Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network
Objective: A novel structure based on channel-wise attention mechanism i...
read it
-
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
Self-supervised representation learning is an emerging research topic fo...
read it
-
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
Real-time understanding in video is crucial in various AI applications s...
read it
-
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
In the era of multimedia and Internet, people are eager to obtain inform...
read it
-
Alleviation for Gradient Exploding in GANs: Fake Can Be Real
In order to alleviate the notorious mode collapse phenomenon in generati...
read it
-
Retrospective Reader for Machine Reading Comprehension
Machine reading comprehension (MRC) is an AI challenge that requires mac...
read it
-
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation
Deep generative models have been successfully applied to many applicatio...
read it
-
Unsupervised Deep Tracking
We propose an unsupervised visual tracking method in this paper. Differe...
read it
-
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling
In this paper, we propose a fast surrogate leverage weighted sampling st...
read it
-
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
We propose a novel model for a topic-aware chatbot by combining the trad...
read it
-
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
We introduce a novel network, called CO-attention Siamese Network (COSNe...
read it
-
Learning Structured Communication for Multi-agent Reinforcement Learning
This work explores the large-scale multi-agent communication mechanism u...
read it
-
AdaWISH: Faster Discrete Integration via Adaptive Quantiles
Discrete integration in a high dimensional space of n variables poses fu...
read it
-
EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery
Human pose and shape recovery is an important task in computer vision an...
read it
-
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
read it
-
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms
This paper focuses on valuating training data for supervised learning ta...
read it
-
Belief Propagation Neural Networks
Learned neural solvers have successfully been used to solve combinatoria...
read it
-
Re-ID Driven Localization Refinement for Person Search
Person search aims at localizing and identifying a query person from a g...
read it
-
Coarse-to-Fine Pseudo-Labeling Guided Meta-Learning for Few-Shot Classification
To endow neural networks with the potential to learn rapidly from a hand...
read it
-
Cluster-wise Unsupervised Hashing for Cross-Modal Similarity Search
In this paper, we present a new cluster-wise unsupervised hashing (CUH) ...
read it
-
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning
Generalized zero-shot learning (GZSL) tackles the problem of learning to...
read it
-
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning
Existing works on disentangled representation learning usually lie on a ...
read it
-
Weakly-Supervised Attention and Relation Learning for Facial Action Unit Detection
Attention mechanism has recently attracted increasing attentions in the ...
read it
-
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
In the past decade, sparse and low-rank recovery have drawn much attenti...
read it
-
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks
High-density object counting in surveillance scenes is challenging mainl...
read it
-
Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation
Semantic segmentation has achieved significant progress but is still cha...
read it
-
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
Instance based photo cartoonization is one of the challenging image styl...
read it
-
Probing Contextualized Sentence Representations with Visual Awareness
We present a universal framework to model contextualized sentence repres...
read it
-
Fine-grained Object Semantic Understanding from Correspondences
Fine-grained semantic understanding of 3D objects is crucial in many app...
read it
-
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection
Efficient model inference is an important and practical issue in the dep...
read it