Towards effective person search with deep learning: A survey from systematic perspective
Person search detects and retrieves simultaneously a query person across uncropped
scene images captured by multiple non-overlap** cameras. In light of the deep learning …
scene images captured by multiple non-overlap** cameras. In light of the deep learning …
Cascade transformers for end-to-end person search
The goal of person search is to localize a target person from a gallery set of scene images,
which is extremely challenging due to large scale variations, pose/viewpoint changes, and …
which is extremely challenging due to large scale variations, pose/viewpoint changes, and …
Pstr: End-to-end one-step person search with transformers
We propose a novel one-step transformer-based person search framework, PSTR, that
jointly performs person detection and re-identification (re-id) in a single architecture. PSTR …
jointly performs person detection and re-identification (re-id) in a single architecture. PSTR …
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search
We address the task of person search, that is, localizing and re-identifying query persons
from a set of raw scene images. Recent approaches are typically built upon OIMNet, a …
from a set of raw scene images. Recent approaches are typically built upon OIMNet, a …
DCMNet: Discriminant and cross-modality network for RGB-D salient object detection
F Wang, R Wang, F Sun - Expert Systems with Applications, 2023 - Elsevier
It is well-acknowledged that depth maps contain affluent spatial information which is crucial
to explicitly distinguish the foreground and background in Salient Object Detection (SOD) …
to explicitly distinguish the foreground and background in Salient Object Detection (SOD) …
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. But a closer look unveils important similarities: both …
literature has treated them separately. But a closer look unveils important similarities: both …
Hierarchical visual primitive experts for compositional zero-shot learning
Compositional zero-shot learning (CZSL) aims to recognize unseen compositions with prior
knowledge of known primitives (attribute and object). Previous works for CZSL often suffer …
knowledge of known primitives (attribute and object). Previous works for CZSL often suffer …
Deep intra-image contrastive learning for weakly supervised one-step person search
Weakly supervised person search aims to perform joint pedestrian detection and re-
identification (re-id) with only bounding-box annotations. Recently, the idea of contrastive …
identification (re-id) with only bounding-box annotations. Recently, the idea of contrastive …
Self-similarity driven scale-invariant learning for weakly supervised person search
Weakly supervised person search aims to jointly detect and match persons with only
bounding box annotations. Existing approaches typically focus on improving the features by …
bounding box annotations. Existing approaches typically focus on improving the features by …
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, ie, pedestrian detection and person re …
which is a combination of two sub-tasks, ie, pedestrian detection and person re …