Qingqing Dang
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View article: CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs
CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Open
The rapid scaling of Large Language Models (LLMs) elevates inference costs and compounds substantial deployment barriers. While quantization to 8 or 4 bits mitigates this, sub-3-bit methods face severe accuracy, scalability, and efficiency…
View article: Fixed-Time Disturbance Rejection Attitude Control for a Dual-System Hybrid UAV
Fixed-Time Disturbance Rejection Attitude Control for a Dual-System Hybrid UAV Open
The hybrid unmanned aerial vehicle combines the vertical take-off and landing and hover abilities of rotary-wing UAVs with the high-speed cruise and long-endurance capabilities of fixed-wing UAVs, expanding the flight envelope and applicat…
View article: Constrained velocity-free control of spacecraft attitude via explicit reference governor
Constrained velocity-free control of spacecraft attitude via explicit reference governor Open
This paper introduces an explicit reference governor-based control scheme tailored for addressing the velocity-free spacecraft attitude maneuver problem. This problem is subject to specific constraints, namely the pointing constraint, angu…
View article: Robust fixed-time flight controller for a dual-system convertible UAV in the cruise mode
Robust fixed-time flight controller for a dual-system convertible UAV in the cruise mode Open
This paper investigates the attitude tracking control problem for the cruise mode of a dual-system convertible unmanned aerial vehicle (UAV) in the presence of parameter uncertainties, unmodeled uncertainties and wind disturbances. First, …
View article: Reinforcement learning based UAV formation control in GPS-denied environment
Reinforcement learning based UAV formation control in GPS-denied environment Open
Highly accurate positioning is a crucial prerequisite of multi Unmanned Aerial Vehicle close-formation flight for target tracking, formation keeping, and collision avoidance. Although the position of a UAV can be obtained through the Globa…
View article: Constrained output feedback control of spacecraft attitude via explicit reference governor
Constrained output feedback control of spacecraft attitude via explicit reference governor Open
This paper proposes an explicit reference governor-based control scheme for the velocity-free spacecraft attitude maneuver problem subject to the pointing constraint, the angular velocity constraint, and the input constraint. The proposed …
View article: Incipient Fault Detection and Reconstruction Using an Adaptive Sliding-Mode Observer for the Actuators of Fixed-Wing Aircraft
Incipient Fault Detection and Reconstruction Using an Adaptive Sliding-Mode Observer for the Actuators of Fixed-Wing Aircraft Open
This paper proposes a new method of detection and reconstruction of the incipient fault of fixed-wing actuators based on an adaptive sliding-mode observer. First, a mathematical model of a fixed-wing aircraft is derived under certain assum…
View article: DETRs Beat YOLOs on Real-time Object Detection
DETRs Beat YOLOs on Real-time Object Detection Open
The YOLO series has become the most popular framework for real-time object detection due to its reasonable trade-off between speed and accuracy. However, we observe that the speed and accuracy of YOLOs are negatively affected by the NMS. R…
View article: PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector Open
Arbitrary-oriented object detection is a fundamental task in visual scenes involving aerial images and scene text. In this report, we present PP-YOLOE-R, an efficient anchor-free rotated object detector based on PP-YOLOE. We introduce a ba…
View article: Ribosomal protein RPL5 regulates colon cancer cell proliferation and migration through MAPK/ERK signaling pathway
Ribosomal protein RPL5 regulates colon cancer cell proliferation and migration through MAPK/ERK signaling pathway Open
Background: Abnormal expression of ribosomal proteins has an important regulatory effect on the progression of cancer. RPL5 is involved in the progression of various malignancies, however, the role of RPL5 in colon cancer remains is still …
View article: PP-Matting: High-Accuracy Natural Image Matting
PP-Matting: High-Accuracy Natural Image Matting Open
Natural image matting is a fundamental and challenging computer vision task. It has many applications in image editing and composition. Recently, deep learning-based approaches have achieved great improvements in image matting. However, mo…
View article: PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model Open
Real-world applications have high demands for semantic segmentation methods. Although semantic segmentation has made remarkable leap-forwards with deep learning, the performance of real-time methods is not satisfactory. In this work, we pr…
View article: PP-YOLOE: An evolved version of YOLO
PP-YOLOE: An evolved version of YOLO Open
In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv2, using anchor-free paradigm, more powerful backbone and n…
View article: BiBERT: Accurate Fully Binarized BERT
BiBERT: Accurate Fully Binarized BERT Open
The large pre-trained BERT has achieved remarkable performance on Natural Language Processing (NLP) tasks but is also computation and memory expensive. As one of the powerful compression approaches, binarization extremely reduces the compu…
View article: PP-MSVSR: Multi-Stage Video Super-Resolution
PP-MSVSR: Multi-Stage Video Super-Resolution Open
Different from the Single Image Super-Resolution(SISR) task, the key for Video Super-Resolution(VSR) task is to make full use of complementary information across frames to reconstruct the high-resolution sequence. Since images from differe…
View article: PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices Open
The better accuracy and efficiency trade-off has been a challenging problem in object detection. In this work, we are dedicated to studying key optimizations and neural network architecture choices for object detection to improve accuracy …
View article: PAFNet: An Efficient Anchor-Free Object Detector Guidance
PAFNet: An Efficient Anchor-Free Object Detector Guidance Open
Object detection is a basic but challenging task in computer vision, which plays a key role in a variety of industrial applications. However, object detectors based on deep learning usually require greater storage requirements and longer i…
View article: PP-YOLOv2: A Practical Object Detector
PP-YOLOv2: A Practical Object Detector Open
Being effective and efficient is essential to an object detector for practical use. To meet these two concerns, we comprehensively evaluate a collection of existing refinements to improve the performance of PP-YOLO while almost keep the in…
View article: NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results Open
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Diverse Video (LDV) dataset is employed. The challenge has th…
View article: PP-OCR: A Practical Ultra Lightweight OCR System
PP-OCR: A Practical Ultra Lightweight OCR System Open
The Optical Character Recognition (OCR) systems have been widely used in various of application scenarios, such as office automation (OA) systems, factory automations, online educations, map productions etc. However, OCR is still a challen…
View article: PP-YOLO: An Effective and Efficient Implementation of Object Detector
PP-YOLO: An Effective and Efficient Implementation of Object Detector Open
Object detection is one of the most important areas in computer vision, which plays a key role in various practical scenarios. Due to limitation of hardware, it is often necessary to sacrifice accuracy to ensure the infer speed of the dete…
View article: Multistage Angular Momentum Management for Space Station Attitude Control
Multistage Angular Momentum Management for Space Station Attitude Control Open
A multistage attitude control and momentum management (ACMM) control strategy is proposed for space stations. The ACMM, which includes closed-loop angular momentum feedback (CAMF) and torque equilibrium attitude (TEA) tracking, is achieved…