This paper presents a programmable, energy-efficient and real-time object detection accelerator using deformable parts models (DPM), with 2x higher accuracy than traditional rigid body models. With 8 deformable parts detection, three methods are used to address the high computational complexity: classification pruning for 33x fewer parts classification, vector quantization for 15x memory size reduction, and feature basis projection for 2x reduction of the cost of each classification. The chip is implemented in 65nm CMOS technology, and can process HD (1920x1080) images at 30fps without any off-chip storage while consuming only 58.6mW (0.94nJ/pixel, 1168 GOPS/W). The chip has two classification engines to simultaneously detect two different classes of objects. With a tested high throughput of 60fps, the classification engines can be time multiplexed to detect even more than two object classes. It is energy scalable by changing the pruning factor or disabling the parts classification.
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models
INESC TEC – Instituto de Engenharia, Tecnologia e Ciencia（INESC TEC——工程与科技研究所）；Faculty of Engineering, University of Porto（波尔图大学工程学院）；Nottingham Trent University（诺丁汉特伦特大学）；Khalifa University of Science（哈利法科学大学）
U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising Training
National Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University（自主水下机动车辆技术国家重点实验室，哈尔滨工程大学）；Hong Kong Polytechnic University（香港理工大学）
RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar
Institute of Deep Perception Technology, JITRI（捷通华声深度感知技术研究所）；SAT, Xi’an Jiaotong-Liverpool University（西交利物浦大学SAT中心）；University of Liverpool（利物浦大学）；XJTLU-JITRI Academy of Industrial Technology, Xi’an Jiaotong-Liverpool University（西交利物浦大学-捷通华声工业技术研究院）；School of Automation Science and Electrical Engineering, Beihang University（北京航空航天大学自动化科学与电气工程学院）；Thrust of Artificial Intelligence, HKUST (GZ)（香港科技大学（广州）人工智能学域）；Thrust of Intelligent Transportation, HKUST (GZ)（香港科技大学（广州）智能交通学域）
LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians
International Digital Economy Academy (IDEA)（国际数字经济学院（IDEA））；Hong Kong University of Science and Technology（香港科技大学）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））
Progressively Deformable 2D Gaussian Splatting for Video Representation at Arbitrary Resolutions
Shanghai Jiao Tong University, Shanghai, China（上海交通大学）；University of Missouri--Kansas City, Kansas City, MO, USA（密苏里大学-堪萨斯城分校）；University of Canterbury, Christchurch, New Zealand（坎特伯雷大学）
A System-Level Solution for Low-Power Object Detection
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；University of Chinese Academy of Sciences（中国科学院大学）；AiRiA；CAS Center for Excellence in Brain Science and Intelligence Technology（中国科学院脑科学与智能技术卓越创新中心）
Sparse4D-Radar: An Efficient and Robust Framework for Surround-View 3D Object Detection via 4D Radar-Camera Fusion
State Key Laboratory of Ocean Sensing and Ocean College, Zhejiang University（浙江大学海洋传感与海洋学院海洋传感技术国家重点实验室）；Engineering Research Center of Oceanic Sensing Technology and Equipment, Ministry of Education, Zhejiang University（浙江大学海洋传感技术与装备教育部工程研究中心）；Donghai Laboratory（东海实验室）；Ocean College, Institute of Marine Electronics and Intelligent Systems, Zhejiang University（浙江大学海洋学院海洋电子与智能系统研究所）
Real-Time Glottis Detection Framework via Spatial-decoupled Feature Learning for Nasal Transnasal Intubation
Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Hubei University of Technology（湖北现代制造质量工程重点实验室，湖北工业大学）；School of Mechanical Science and Engineering, Huazhong University of Science and Technology（华中科技大学机械科学与工程学院）；Department of Electronic Engineering, The Chinese University of Hong Kong（香港中文大学电子工程系）；Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education（教育部符号计算与知识工程重点实验室）；National Key Laboratory for Novel Software Technology, Nanjing University（南京大学新型软件技术国家实验室）
