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A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
Recent researches show that machine learning has the potential to learn ...
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CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation
Generating multiple categories of texts is a challenging task and draws ...
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Machine Intelligence at the Edge with Learning Centric Power Allocation
While machine-type communication (MTC) devices generate considerable amo...
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Neural Relational Inference with Efficient Message Passing Mechanisms
Many complex processes can be viewed as dynamical systems of interacting...
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Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
High-quality image inpainting requires filling missing regions in a dama...
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Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM
Most of current Convolution Neural Network (CNN) based methods for optic...
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Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model
The nonliteral interpretation of a text is hard to be understood by mach...
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Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
This paper deals with distributed finite-sum optimization for learning o...
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Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Neural Architecture Search (NAS), aiming at automatically designing netw...
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Layout-Graph Reasoning for Fashion Landmark Detection
Detecting dense landmarks for diverse clothes, as a fundamental techniqu...
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Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
Existing deep learning methods for action recognition in videos require ...
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Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding
Person re-identification (Re-ID) aims to match identities across non-ove...
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Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
We present a learning model that makes full use of boundary information ...
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Improving the Fairness of Deep Generative Models without Retraining
Generative Adversarial Networks (GANs) have recently advanced face synth...
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Adaptively Connected Neural Networks
This paper presents a novel adaptively connected neural network (ACNet) ...
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Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network
In many robotic applications, especially for the autonomous driving, und...
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Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video
Temporally language grounding in untrimmed videos is a newly-raised task...
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Active Object Search
In this work, we investigate an Active Object Search (AOS) task that is ...
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Image Generation from Freehand Scene Sketches
We introduce the first method for automatic image generation from scene-...
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Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary
Membership inference (MI) in machine learning decides whether a given ex...
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Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark
Person re-identification (ReID) benefits greatly from the accurate annot...
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A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification
Person re-identification (re-id) has made great progress in recent years...
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Gradual Network for Single Image De-raining
Most advances in single image de-raining meet a key challenge, which is ...
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Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle
Building spiking neural networks (SNNs) based on biological synaptic pla...
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Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Social relationships (e.g., friends, couple etc.) form the basis of the ...
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DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
In general, recommendation can be viewed as a matching problem, i.e., ma...
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PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain
We propose a universal image reconstruction method to represent detailed...
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Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread
Recently deep convolutional neural networks have achieved significant su...
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Multi-Domain Dialogue Acts and Response Co-Generation
Generating fluent and informative responses is of critical importance fo...
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Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation
Beyond the common difficulties faced in the natural image captioning, me...
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Motion Guided Attention for Video Salient Object Detection
Video salient object detection aims at discovering the most visually dis...
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Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
We study the detection of propagandistic text fragments in news articles...
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Retrosynthesis is the process of recursively decomposing target molecule...
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Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification
Convolutional neural networks (CNNs) attained a good performance in hype...
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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
We focus on Unsupervised Domain Adaptation (UDA) for the task of semanti...
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Instance-level Human Parsing via Part Grouping Network
Instance-level human parsing towards real-world human analysis scenarios...
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Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining
Single image rain streaks removal has recently witnessed substantial pro...
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ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
We propose an attention-injective deformable convolutional network calle...
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Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning
Facial landmark localization plays a critical role in face recognition a...
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Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis
Medical automatic diagnosis (MAD) aims to learn an agent that mimics the...
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Linguistically Driven Graph Capsule Network for Visual Question Reasoning
Recently, studies of visual question answering have explored various arc...
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Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
Taxi demand prediction has recently attracted increasing research intere...
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Semi-supervised Skin Detection by Network with Mutual Guidance
In this paper we present a new data-driven method for robust skin detect...
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Person Re-identification by Contour Sketch under Moderate Clothing Change
Person re-identification (re-id), the process of matching pedestrian ima...
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Toward Characteristic-Preserving Image-based Virtual Try-On Network
Image-based virtual try-on systems for fitting a new in-shop clothes int...
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Adaptive Temporal Encoding Network for Video Instance-level Human Parsing
Beyond the existing single-person and multiple-person human parsing task...
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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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Accelerating Mini-batch SARAH by Step Size Rules
StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for...
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Learnable Parameter Similarity
Most of the existing approaches focus on specific visual tasks while ign...
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