The scene graph generation (SGG) task is designed to identify the predic...
Large language models (LLMs)have achieved great success in general domai...
The pandemic of COVID-19 has inspired extensive works across different
r...
Graph representation learning has been widely studied and demonstrated
e...
In the research of end-to-end dialogue systems, using real-world knowled...
While person Re-identification (Re-ID) has progressed rapidly due to its...
In recent years, person Re-identification (ReID) has rapidly progressed ...
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen composi...
Most recent self-supervised learning methods learn visual representation...
Vertical federated learning (VFL) attracts increasing attention due to t...
Deep Metric Learning (DML) plays a critical role in various machine lear...
Vertical federated learning (VFL) is an effective paradigm of training t...
We study self-supervised learning on graphs using contrastive methods. A...
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a novel cross-modal
...
Deep clustering successfully provides more effective features than
conve...
Few-shot object detection (FSOD) aims to strengthen the performance of n...
Vertical federated learning (VFL) attracts increasing attention due to t...
Modern deep learning methods have achieved great success in machine lear...
Grouping has been commonly used in deep metric learning for computing di...
Deep metric learning plays a key role in various machine learning tasks....
The privacy-preserving federated learning for vertically partitioned dat...
Generating adversarial examples in a black-box setting retains a signifi...
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-mod...
Referring expression comprehension (REC) and segmentation (RES) are two
...
Due to the high storage and search efficiency, hashing has become preval...
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-mod...
The clustering methods have recently absorbed even-increasing attention ...
Hash based nearest neighbor search has become attractive in many
applica...
With explosive growth of data volume and ever-increasing diversity of da...
Recent years have witnessed the quick progress of the hyperspectral imag...
As JPEG is the most widely used image format, the importance of tamperin...
Deep learning has recently attracted significant attention in the field ...
Given the benefits of its low storage requirements and high retrieval
ef...
Zero-shot sketch-based image retrieval (ZS-SBIR) is a task of cross-doma...
Two-stream architecture have shown strong performance in video classific...
In recent years, hashing has attracted more and more attention owing to ...
Image attribute transfer aims to change an input image to a target one w...
The success of convolutional neural networks (CNNs) in computer vision
a...
Most existing visual search systems are deployed based upon fixed kinds ...
Thanks to the success of deep learning, cross-modal retrieval has made
s...
Domain adaptation problems arise in a variety of applications, where a
t...