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Deep Image Retrieval: A Survey
In recent years a vast amount of visual content has been generated and s...
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On the Exploration of Incremental Learning for Fine-grained Image Retrieval
In this paper, we consider the problem of fine-grained image retrieval i...
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Multi-teacher Knowledge Distillation for Knowledge Graph Completion
Link prediction based on knowledge graph embedding (KGE) aims to predict...
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Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
Misinformation/disinformation about COVID-19 has been rampant on social ...
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Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
The task of visual grounding requires locating the most relevant region ...
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Image Retrieval for Structure-from-Motion via Graph Convolutional Network
Conventional image retrieval techniques for Structure-from-Motion (SfM) ...
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Discriminability Distillation in Group Representation Learning
Learning group representation is a commonly concerned issue in tasks whe...
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Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging and...
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Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020
This technical report presents an overview of our solution used in the s...
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Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
With the rapid development of knowledge bases (KBs), link prediction tas...
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1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020
This technical report introduces our winning solution to the spatio-temp...
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A novel multimodal approach for hybrid brain-computer interface
Brain-computer interface (BCI) technologies have been widely used in man...
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Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion
Change detection in heterogeneous remote sensing images is crucial for d...
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Anisotropic Convolutional Networks for 3D Semantic Scene Completion
As a voxel-wise labeling task, semantic scene completion (SSC) tries to ...
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DPGN: Distribution Propagation Graph Network for Few-shot Learning
We extend this idea further to explicitly model the distribution-level r...
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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation
This article introduces the solutions of the two champion teams, `MMfrui...
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KPNet: Towards Minimal Face Detector
The small receptive field and capacity of minimal neural networks limit ...
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Revisiting the Sibling Head in Object Detector
The “shared head for classification and localization” (sibling head), fi...
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Top-1 Solution of Multi-Moments in Time Challenge 2019
In this technical report, we briefly introduce the solutions of our team...
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3D Gated Recurrent Fusion for Semantic Scene Completion
This paper tackles the problem of data fusion in the semantic scene comp...
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Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
Hyperspectral image(HSI) classification has been improved with convoluti...
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Long-Range Gesture Recognition Using Millimeter Wave Radar
Millimeter wave (mmWave) based gesture recognition technology provides a...
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Depth Based Semantic Scene Completion with Position Importance Aware Loss
Semantic Scene Completion (SSC) refers to the task of inferring the 3D s...
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Temporal Interlacing Network
For a long time, the vision community tries to learn the spatio-temporal...
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Search to Distill: Pearls are Everywhere but not the Eyes
Standard Knowledge Distillation (KD) approaches distill the knowledge of...
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A game method for improving the interpretability of convolution neural network
Real artificial intelligence always has been focused on by many machine ...
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A Coding-free Software Framework of Developing Web Data Management Systems
More and more enterprises recently intend to deploy data management syst...
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Gradient Information Guided Deraining with A Novel Network and Adversarial Training
In recent years, deep learning based methods have made significant progr...
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Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation
This paper tackles the problem of video object segmentation. We are spec...
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Blind Channel Estimation and Data Detection with Unknown Modulation and Coding Scheme
This paper investigates a complete blind receiver approach in an unknown...
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A First Look at Commercial 5G Performance on Smartphones
We conduct to our knowledge a first measurement study of commercial 5G p...
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A First Measurement Study of Commercial mmWave 5G Performance on Smartphones
We conduct to our knowledge a first measurement study of commercial mmWa...
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Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes
Spiking neural networks (SNNs) are the third generation of neural networ...
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Towards Flops-constrained Face Recognition
Large scale face recognition is challenging especially when the computat...
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In defense of OSVOS
As a milestone for video object segmentation, one-shot video object segm...
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Exploiting temporal consistency for real-time video depth estimation
Accuracy of depth estimation from static images has been significantly i...
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Modeling Event Propagation via Graph Biased Temporal Point Process
Temporal point process is widely used for sequential data modeling. In t...
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Scalable Place Recognition Under Appearance Change for Autonomous Driving
A major challenge in place recognition for autonomous driving is to be r...
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Use of OWL and Semantic Web Technologies at Pinterest
Pinterest is a popular Web application that has over 250 million active ...
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Fast Accurate Beam and Channel Tracking for Two-dimensional Phased Antenna Arrays
The sparsity and the severe attenuation of millimeter-wave (mmWave) chan...
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Fast Accurate Beam and Channel Tracking for Two-dimensional Phased Antenna Array
The sparsity and the severe attenuation of millimeter-wave (mmWave) chan...
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From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation
Many important classification problems, such as object classification, s...
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PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs
SimRank is a classic measure of the similarities of nodes in a graph. G...
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Extracting human emotions at different places based on facial expressions and spatial clustering analysis
The emergence of big data enables us to evaluate the various human emoti...
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Experimental Quantum-enhanced Cryptographic Remote Control
The Internet of Things (IoT), as a cutting-edge integrated cross-technol...
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Knowledge Distillation via Route Constrained Optimization
Distillation-based learning boosts the performance of the miniaturized n...
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Correlation Congruence for Knowledge Distillation
Most teacher-student frameworks based on knowledge distillation (KD) dep...
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Conditional Adversarial Generative Flow for Controllable Image Synthesis
Flow-based generative models show great potential in image synthesis due...
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RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
RGB images differentiate from depth images as they carry more details ab...
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Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes
As the post-processing step for object detection, non-maximum suppressio...
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