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Found 12 papers, 3 papers with code
JIANG: Chinese Open Foundation Language Model
With the advancements in large language model technology, it has showcased capabilities that come close to those of human beings across various tasks.
Deep Learning with Passive Optical Nonlinear Mapping
Utilizing rapid optical information processing capabilities, our optical platforms could potentially offer more efficient and real-time processing solutions for a broad range of applications.
Breathing cluster in complex neuron-astrocyte networks
It is revealed that the contents of the cluster are determined by the network symmetry and the breathing activities are due to the interplay between the neural network and the astrocyte.
Joint Counting, Detection and Re-Identification for Multi-Object Tracking
The recent trend in 2D multiple object tracking (MOT) is jointly solving detection and tracking, where object detection and appearance feature (or motion) are learned simultaneously.
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Deep learning security matters to autonomous driving system security, and then matters to personal safety, which is an issue that deserves attention and research. This paper provides an summary of the concepts, developments and recent research in deep learning security technologies in autonomous driving.
Contextualize differential privacy in image database: a lightweight image differential privacy approach based on principle component analysis inverse
To this end, we design a lightweight approach dedicating to privatizing image database as a whole and preserving the statistical semantics of the image database to an adjustable level, while making individual images' contribution to such statistics indistinguishable.
Research on Dual Channel News Headline Classification Based on ERNIE Pre-training Model
Aiming at the problem that the traditional neural network model cannot adequately capture the underlying feature information of the data and cannot jointly extract key global features and deep local features, a dual-channel network model DC-EBAD based on the ERNIE pre-training model is proposed.
SN-Graph: a Minimalist 3D Object Representation for Classification
Using deep learning techniques to process 3D objects has achieved many successes.
An Object Detection based Solver for Google's Image reCAPTCHA v2
Previous work showed that reCAPTCHA v2's image challenges could be solved by automated programs armed with Deep Neural Network (DNN) image classifiers and vision APIs provided by off-the-shelf image recognition services.
A Fast Hybrid Cascade Network for Voxel-based 3D Object Classification
Voxel-based 3D object classification has been thoroughly studied in recent years.
InSphereNet: a Concise Representation and Classification Method for 3D Object
Unlike previous methods that use points, voxels, or multi-view images as inputs of deep neural network (DNN), the proposed method constructs a class of more representative features named infilling spheres from signed distance field (SDF).
Electrically pumped semiconductor laser with low spatial coherence and directional emission
We design and fabricate an on-chip laser source that produces a directional beam with low spatial coherence.
Optics
