Person Search
48 papers with code • 2 benchmarks • 9 datasets
Person Search is a task which aims at matching a specific person among a great number of whole scene images.
Source: Re-ID Driven Localization Refinement for Person Search
Datasets
CUHK-SYSU
PRW
MovieNet
ICFG-PEDES
Market1501-Attributes
DukeMTMC-attribute
CUHK-QA
Latest papers with no code
Calibrating Cross-modal Features for Text-Based Person Searching
On the other hand, the Masking Caption Modeling (MCM) loss leverages a masked captions prediction task to establish detailed and generic relationships between textual and visual parts.
LEAPS: End-to-End One-Step Person Search With Learnable Proposals
Given a set of sparse and learnable proposals, LEAPS employs a dynamic person search head to directly perform person detection and corresponding re-id feature generation without non-maximum suppression post-processing.
Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search
Text-based Person Search (TPS), is targeted on retrieving pedestrians to match text descriptions instead of query images.
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
On the other hand, the similarity of cross-scale images is often smaller than that of images with the same scale for a person, which will increase the difficulty of matching.
Deep Learning for Human Parsing: A Survey
Human parsing is a key topic in image processing with many applications, such as surveillance analysis, human-robot interaction, person search, and clothing category classification, among many others.
DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search
Person search aims at localizing and recognizing query persons from raw video frames, which is a combination of two sub-tasks, i. e., pedestrian detection and person re-identification.
Sequential Transformer for End-to-End Person Search
Person Search aims to simultaneously localize and recognize a target person from realistic and uncropped gallery images.
Grouped Adaptive Loss Weighting for Person Search
A straightforward solution is to manually assign different weights to different tasks, compensating for the diverse convergence rates.
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Few-shot fine-grained classification and person search appear as distinct tasks and literature has treated them separately.
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
Moreover, existing methods seldom consider the information inequality problem between modalities caused by image-specific information.
