Deep Attention Aware Feature Learning for Person Re-Identification (2020-03-01T00:00:00.000000Z)

TL;DR

This paper proposes to incorporate the attention learning as additional objectives in a person ReID network without changing the original structure, thus maintain the same inference time and model size.

Authors

Bin Fan

2 papers

Han Wang

1 papers

Xiaolu Sun

1 papers

Chunrui Tang

1 papers

TL;DR

Authors

References56 items

Spatial-driven features based on image dependencies for person re-identification

Identity-Guided Human Semantic Parsing for Person Re-Identification

Deep Learning for Person Re-Identification: A Survey and Outlook

Learning Generalisable Omni-Scale Representations for Person Re-Identification

Self-Critical Attention Learning for Person Re-Identification

Learning Part-based Convolutional Features for Person Re-Identification

ABD-Net: Attentive but Diverse Person Re-Identification

AANet: Attribute Attention Network for Person Re-Identifications

Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification

Interaction-And-Aggregation Network for Person Re-Identification

Joint Discriminative and Generative Learning for Person Re-Identification

Bag of Tricks and a Strong Baseline for Deep Person Re-Identification

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training

Dual Attention Network for Scene Segmentation

Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification

Mask-Guided Contrastive Attention Model for Person Re-identification

Attention-Aware Compositional Network for Person Re-identification

Part-Aligned Bilinear Representations for Person Re-identification

Learning Discriminative Features with Multiple Granularities for Person Re-Identification

Human Semantic Parsing for Person Re-identification

Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification

Harmonious Attention Network for Person Re-identification

Deep-Person: Learning Discriminative Deep Features for Person Re-Identification

Camera Style Adaptation for Person Re-identification

A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking

Beyond Part Models: Person Retrieval with Refined Part Pooling

Cascaded Pyramid Network for Multi-person Pose Estimation

Pose-Driven Deep Convolutional Model for Person Re-identification

Deeply-Learned Part-Aligned Representations for Person Re-identification

Pedestrian Alignment Network for Large-scale Person Re-Identification

Hierarchical Gaussian Descriptors with Application to Person Re-Identification

In Defense of the Triplet Loss for Person Re-Identification

Improving Person Re-identification by Attribute and Identity Learning

SVDNet for Pedestrian Retrieval

Re-ranking Person Re-identification with k-Reciprocal Encoding

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro

SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

Person Re-identification: Past, Present and Future

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

A Siamese Long Short-Term Memory Architecture for Human Re-identification

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

Deep Residual Learning for Image Recognition

Scalable Person Re-identification: A Benchmark

Partial Person Re-Identification

Attention to Scale: Scale-Aware Semantic Image Segmentation

An improved deep learning architecture for person re-identification

Spatial Transformer Networks

Deep Metric Learning for Person Re-identification

DeepReID: Deep Filter Pairing Neural Network for Person Re-identification

Person re-identification by probabilistic relative distance comparison

Deconvolutional networks

re-identiﬁcation

A Benchmark for

Learning hybrid ranking representation for person re-identification

Field of Study

Journal Information

Name

Volume

Venue Information

Name

Type

URL

Alternate Names