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Spatial-Scale Aligned Network for Fine-Grained Recognition
Existing approaches for fine-grained visual recognition focus on learnin...
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PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
In this work, we present a novel data-driven method for robust 6DoF obje...
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PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks
Despite significant progress of applying deep learning methods to the fi...
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Stroke-based Artistic Rendering Agent with Deep Reinforcement Learning
Excellent painters can use only a few strokes to create a fantastic pain...
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Data Uncertainty Learning in Face Recognition
Modeling data uncertainty is important for noisy images, but seldom expl...
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STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification
Partial person re-identification (ReID) is a challenging task because on...
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Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification
Due to its potential wide applications in video surveillance and other c...
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Exploring Categorical Regularization for Domain Adaptive Object Detection
In this paper, we tackle the domain adaptive object detection problem, w...
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M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
The present MVS methods with deep learning have an impressive performanc...
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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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WeightNet: Revisiting the Design Space of Weight Networks
We present a conceptually simple, flexible and effective framework for w...
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Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification
Vehicle re-identification is an important problem and becomes desirable ...
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Circle Loss: A Unified Perspective of Pair Similarity Optimization
This paper provides a pair similarity optimization viewpoint on deep fea...
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GridFace: Face Rectification via Learning Local Homography Transformations
In this paper, we propose a method, called GridFace, to reduce facial ge...
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NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network
We proposed an unsupervised learning-based network, named NPF-MVSNet, fo...
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3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...
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Joint Multi-Dimension Pruning
We present joint multi-dimension pruning (named as JointPruning), a new ...
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Hierarchical Context Embedding for Region-based Object Detection
State-of-the-art two-stage object detectors apply a classifier to a spar...
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RIN: Textured Human Model Recovery and Imitation with a Single Image
Human imitation has become topical recently, driven by GAN's ability to ...
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RepVGG: Making VGG-style ConvNets Great Again
We present a simple but powerful architecture of convolutional neural ne...
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Scene Text Recognition from Two-Dimensional Perspective
Inspired by speech recognition, recent state-of-the-art algorithms mostl...
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Scene Text Detection with Supervised Pyramid Context Network
Scene text detection methods based on deep learning have achieved remark...
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2D-CTC for Scene Text Recognition
Scene text recognition has been an important, active research topic in c...
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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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Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
We present a new data-driven video inpainting method for recovering miss...
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Unified Perceptual Parsing for Scene Understanding
Humans recognize the visual world at multiple levels: we effortlessly ca...
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Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
Deep learning-based video salient object detection has recently achieved...
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FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces
Facial attractiveness enhancement has been an interesting application in...
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AutoAssign: Differentiable Label Assignment for Dense Object Detection
In this paper, we propose an anchor-free object detector with a fully di...
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Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?
Face recognition performance improves rapidly with the recent deep learn...
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Content-Aware Unsupervised Deep Homography Estimation
Robust homography estimation between two images is a fundamental task wh...
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Weight-dependent Gates for Network Pruning
In this paper, we propose a simple and effective network pruning framewo...
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SOT for MOT
In this paper we present a robust tracker to solve the multiple object t...
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AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
In this paper, we propose a novel method called AlignedReID that extract...
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Repulsion Loss: Detecting Pedestrians in a Crowd
Detecting individual pedestrians in a crowd remains a challenging proble...
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Cascaded Pyramid Network for Multi-Person Pose Estimation
The topic of multi-person pose estimation has been largely improved rece...
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Face Attention Network: An Effective Face Detector for the Occluded Faces
The performance of face detection has been largely improved with the dev...
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MegDet: A Large Mini-Batch Object Detector
The improvements in recent CNN-based object detection works, from R-CNN ...
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Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
Person re-identification (ReID) is an important task in computer vision....
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DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
We propose DoReFa-Net, a method to train convolutional neural networks t...
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Deep Learning with Low Precision by Half-wave Gaussian Quantization
The problem of quantizing the activations of a deep neural network is co...
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FastMask: Segment Multi-scale Object Candidates in One Shot
Objects appear to scale differently in natural images. This fact require...
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
We introduce an extremely computation-efficient CNN architecture named S...
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Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Quantized Neural Networks (QNNs), which use low bitwidth numbers for rep...
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Point Linking Network for Object Detection
Object detection is a core problem in computer vision. With the developm...
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What Can Help Pedestrian Detection?
Aggregating extra features has been considered as an effective approach ...
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EAST: An Efficient and Accurate Scene Text Detector
Previous approaches for scene text detection have already achieved promi...
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Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
One of recent trends [30, 31, 14] in network architec- ture design is st...
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Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Fully convolutional neural networks give accurate, per-pixel prediction ...
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UnitBox: An Advanced Object Detection Network
In present object detection systems, the deep convolutional neural netwo...
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