Search
Search Results
-
Attribute-wise reasoning reinforcement learning for pedestrian attribute retrieval
Pedestrian attribute retrieval (PAR) aims at retrieving soft-biometric attributes of pedestrian images from video surveillance. Despite advancements,...
-
Semi-supervised attribute reduction via attribute indiscernibility
Attribute reduction based on rough sets plays an important role in data preprocessing. Discernibility pair, as an effective information measurement,...
-
Attribute latencies causally shape intertemporal decisions
Intertemporal choices – decisions that play out over time – pervade our life. Thus, how people make intertemporal choices is a fundamental question....
-
ManiCLIP: Multi-attribute Face Manipulation from Text
In this paper we present a novel multi-attribute face manipulation method based on textual descriptions. Previous text-based image editing methods...
-
Attribute subspace-guided multi-scale community detection
Community detection is designed to divide a network into multiple subnetworks (communities) with high cohesiveness, which has attracted wide...
-
Graph-based dynamic attribute clip** for conversational recommendation
Conversational recommender systems (CRS) enable traditional recommender systems to interact with users by asking questions about their preferences...
-
Attribute- and attention-guided few-shot classification
The field of image classification faces significant challenges due to the scarcity of target samples, leading to model overfitting and difficult...
-
Scattering-based hybrid network for facial attribute classification
Face attribute classification (FAC) is a high-profile problem in biometric verification and face retrieval. Although recent research has been devoted...
-
Tri-level attribute reduction based on neighborhood rough sets
Tri-level attribute reduction is an interesting topic that aims to reduce the data dimensionality from different levels and granularity perspectives....
-
The recognition effects of attribute ambiguity
When examining memory effects of semantic attributes, it is common practice to manipulate normed mean ( M ) ratings of the attributes (i.e., attribute...
-
Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition
Pedestrian attribute recognition, as a sub-task of multi-label classification, is influenced by the joint and coupled relationships among the...
-
Review: Single attribute and multi attribute facial gender and age estimation
Facial age and gender recognition have vital applications as consumer profile prediction, social media advertisement, human-computer interaction,...
-
Attribute reduction based on interval-set rough sets
As an important extension of the rough set theory, interval-set rough sets provide an effective method to solve the problem that the objective sets...
-
A dynamic attribute reduction algorithm based on relative neighborhood discernibility degree
This paper addresses the current existence of attribute reduction algorithms for incomplete hybrid decision-making systems, including low attribute...
-
Attribute ratings and their impact on attraction and compromise effects
Consumers often face uncertainty in decision-making while assessing options presented as attribute-bundles as they are unable to assess their...
-
Quantum attribute-based encryption: a comprehensive study
In this work, we study quantum versions of attribute-based encryption schemes. Attribute-based encryption enables fine-grained access control of...
-
Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning
Zero-Shot Learning (ZSL) involves transferring knowledge from seen classes to unseen classes by establishing connections between visual and semantic...
-
Pedestrian attribute recognition based on attribute correlation
Pedestrian attribute recognition is widely used in pedestrian tracking and pedestrian re-identification. This task confronts two fundamental...
-
Attribute-Enhanced Capsule Network for Pulmonary Nodule Classification
PurposeMost pulmonary nodule classification methods solely rely on nodule images without considering the corresponding attribute information....
-
Multi-channel attribute preservation for face de-identification
The advancement of computer vision and surveillance devices has underscored the significance of safeguarding privacy in facial images and videos,...
