Person Retrieval
25 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Person Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
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RSTPReid
ITCPR dataset
Latest papers with no code
CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval
Indeed, color information is an important decision-making accordance for retrieval, but the over-reliance on color would distract the model from other key clues (e. g. texture information, structural information, etc.
Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold
We evaluate our proposed method on two text-based person retrieval datasets CUHK-PEDES and RSTPReid.
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
In this paper, to address more practical scenarios, we propose a new task, Lifelong Unsupervised Domain Adaptive (LUDA) person ReID.
PGGANet: Pose Guided Graph Attention Network for Person Re-identification
Person re-identification (reID) aims at retrieving a person from images captured by different cameras.
whu-nercms at trecvid2021:instance search task
We will make a brief introduction of the experimental methods and results of the WHU-NERCMS in the TRECVID2021 in the paper.
Person Retrieval in Surveillance Using Textual Query: A Review
They help bridge the semantic gap between a human description and a machine as a textual query contains the person's soft biometric attributes.
Channel Recurrent Attention Networks for Video Pedestrian Retrieval
Full attention, which generates an attention value per element of the input feature maps, has been successfully demonstrated to be beneficial in visual tasks.
Visual Appearance Based Person Retrieval in Unconstrained Environment Videos
This paper proposes person retrieval from surveillance video using height, torso cloth type, torso cloth color and gender.
Bilinear Attention Networks for Person Retrieval
This paper investigates a novel Bilinear attention (Bi-attention) block, which discovers and uses second order statistical information in an input feature map, for the purpose of person retrieval.
Illumination-Adaptive Person Re-identification
To demonstrate the illumination issue and to evaluate our model, we construct two large-scale simulated datasets with a wide range of illumination variations.
