Aiming at providing wireless communication systems with
environment-perc...
Semantic matching is a mainstream paradigm of zero-shot relation extract...
The existing supervised relation extraction methods have achieved impres...
Video instance segmentation (VIS) aims at segmenting and tracking object...
Usually, lesions are not isolated but are associated with the surroundin...
Three-dimensional (3D) images, such as CT, MRI, and PET, are common in
m...
Zebrafish is an excellent model organism, which has been widely used in ...
In recent years, image generation has made great strides in improving th...
Incorporating prior knowledge into pre-trained language models has prove...
A combinatorial recommender (CR) system feeds a list of items to a user ...
Video object detection has been an important yet challenging topic in
co...
Existing unsupervised domain adaptation methods based on adversarial lea...
This paper presents a unified framework for depth-aware panoptic segment...
Single object tracking (SOT) research falls into a cycle - trackers perf...
Most of the medical tasks naturally exhibit a long-tailed distribution d...
Target tracking, the essential ability of the human visual system, has b...
With the acceleration of urbanization and living standards, microorganis...
Over the year, people have been using deep learning to tackle inversion
...
This paper investigates a reconfigurable intelligent surface (RIS)-aided...
In the real world, medical datasets often exhibit a long-tailed data
dis...
The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) i...
In recent years, technologies of indoor crowd positioning and movement d...
A graph is an abstract model that represents relations among entities, f...
Retinal vessel segmentation plays a key role in computer-aided screening...
Nowadays, analysis of transparent images in the field of computer vision...
In medical image segmentation, it is difficult to mark ambiguous areas
a...
Microorganisms play a vital role in human life. Therefore, microorganism...
In the real world, medical datasets often exhibit a long-tailed data
dis...
Deep neural networks are known to be data-driven and label noise can hav...
Environmental microorganism (EM) offers a high-efficient, harmless, and
...
Parallel applications are extremely challenging to achieve the optimal
p...
The Alliance for Open Media has recently initiated coding tool explorati...
Recently, ultra-widefield (UWF) 200-degree fundus imaging by Optos camer...
In open-domain question answering, dense passage retrieval has become a ...
Panoptic segmentation (PS) is a complex scene understanding task that
re...
Since space-domain information can be utilized, microphone array beamfor...
In order to assist researchers to identify Environmental Microorganisms ...
A key capability of a long-term tracker is to search for targets in very...
In this paper, we focus on exploring the robustness of the 3D object
det...
Existing works, including ELMO and BERT, have revealed the importance of...
Recently, proposal-free instance segmentation has received increasing
at...
Distributed systems address an increasing demand for fast access to reso...
Multi-hop communication with the aid of large-scale antenna arrays will ...
3D object detection plays an important role in a large number of real-wo...
Person re-identification (ReID) has achieved significant improvement und...
In this work, we introduce a large high-diversity database for generic o...
Hybrid transceiver can strike a balance between complexity and performan...
The development of distributed systems requires developers to balance th...
Edge detection has made significant progress with the help of deep
Convo...
We present a novel methodology based on geometric approach to simulate
m...