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Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
Diffusion has shown great success in improving accuracy of unsupervised ...
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AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets
Recent studies have discovered the vulnerability of Deep Neural Networks...
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Real-time Scene Text Detection with Differentiable Binarization
Recently, segmentation-based methods are quite popular in scene text det...
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Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
A deep neural network (DNN) with piecewise linear activations can partit...
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Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Deep neural networks achieve remarkable performance in many computer vis...
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Comparative evaluation of 2D feature correspondence selection algorithms
Correspondence selection aiming at seeking correct feature correspondenc...
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TextScanner: Reading Characters in Order for Robust Scene Text Recognition
Driven by deep learning and the large volume of data, scene text recogni...
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AI-GAN: Attack-Inspired Generation of Adversarial Examples
Adversarial examples that can fool deep models are mainly crafted by add...
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EmbedMask: Embedding Coupling for One-stage Instance Segmentation
Current instance segmentation methods can be categorized into segmentati...
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From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Visual counting, a task that aims to estimate the number of objects from...
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A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
For 3D hand and body pose estimation task in depth image, a novel anchor...
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IoU-uniform R-CNN: Breaking Through the Limitations of RPN
Region Proposal Network (RPN) is the cornerstone of two-stage object det...
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Adaptive Large Neighborhood Search for Circle Bin Packing Problem
We address a new variant of packing problem called the circle bin packin...
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Learning Directional Feature Maps for Cardiac MRI Segmentation
Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...
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TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
Scene text detection is an important step of scene text reading system. ...
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Domain Adaptation for Image Dehazing
Image dehazing using learning-based methods has achieved state-of-the-ar...
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Limited Gradient Descent: Learning With Noisy Labels
Label noise may handicap the generalization of classifiers, and it is an...
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Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
Deep learning has shown to be effective for depth inference in multi-vie...
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Re-ID Driven Localization Refinement for Person Search
Person search aims at localizing and identifying a query person from a g...
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SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking
Although deep neural networks (DNNs) have achieved fantastic success in ...
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Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
The goal of person search is to localize and match query persons from sc...
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Parallel Convolutional Networks for Image Recognition via a Discriminator
In this paper, we introduce a simple but quite effective recognition fra...
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Mask Scoring R-CNN
Letting a deep network be aware of the quality of its own predictions is...
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Salient Instance Segmentation via Subitizing and Clustering
The goal of salient region detection is to identify the regions of an im...
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Diversity Transfer Network for Few-Shot Learning
Few-shot learning is a challenging task that aims at training a classifi...
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Robust Local Features for Improving the Generalization of Adversarial Training
Adversarial training has been demonstrated as one of the most effective ...
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Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
Dimensionality reduction is an important operation in information visual...
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A Simple Baseline for Multi-Object Tracking
There has been remarkable progress on object detection and re-identifica...
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Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
In this paper, we address the problem of synthesizing multi-parameter ma...
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Unsupervised Learning Framework of Interest Point Via Properties Optimization
This paper presents an entirely unsupervised interest point training fra...
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EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training
Drowsy driving is pervasive, and also a major cause of traffic accidents...
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Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
Ensembling deep learning models is a shortcut to promote its implementat...
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Single Image Reflection Removal through Cascaded Refinement
We address the problem of removing undesirable reflections from a single...
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IoU-aware Single-stage Object Detector for Accurate Localization
Due to the simpleness and high efficiency, single-stage object detectors...
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Deep attention-based classification network for robust depth prediction
In this paper, we present our deep attention-based classification (DABC)...
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Effective reinforcement learning based local search for the maximum k-plex problem
The maximum k-plex problem is a computationally complex problem, which e...
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Symmetry-constrained Rectification Network for Scene Text Recognition
Reading text in the wild is a very challenging task due to the diversity...
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Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
Existing face hallucination methods based on convolutional neural networ...
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Relevant Region Prediction for Crowd Counting
Crowd counting is a concerned and challenging task in computer vision. E...
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Object Detection in Video with Spatial-temporal Context Aggregation
Recent cutting-edge feature aggregation paradigms for video object detec...
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Planar Prior Assisted PatchMatch Multi-View Stereo
The completeness of 3D models is still a challenging problem in multi-vi...
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Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
Image segmentation is a fundamental vision task and a crucial step for m...
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Action Recognition for Depth Video using Multi-view Dynamic Images
Dynamic image is the recently emerged action representation paradigm abl...
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Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
State-of-the-art object detectors and trackers are developing fast. Trac...
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Active Stacking for Heart Rate Estimation
Heart rate estimation from electrocardiogram signals is very important f...
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High-Resolution Representations for Labeling Pixels and Regions
High-resolution representation learning plays an essential role in many ...
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Densely Connected Search Space for More Flexible Neural Architecture Search
In recent years, neural architecture search (NAS) has dramatically advan...
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View N-gram Network for 3D Object Retrieval
How to aggregate multi-view representations of a 3D shape object into an...
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All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Recently, end-to-end text spotting that aims to detect and recognize tex...
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Refinements in Motion and Appearance for Online Multi-Object Tracking
Modern multi-object tracking (MOT) system usually involves separated mod...
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