Deep feature compression for collaborative object detection

12 February 2018

Papers citing "Deep feature compression for collaborative object detection"

50 / 51 papers shown

Title
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression Arianna Stropeni Francesco Borsatti Manuel Barusco Davide Dalle Pezze Marco Fabris Gian Antonio Susto 21 0 0 11 May 2025
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization Samuel Fernández-Menduiña Eduardo Pavez Antonio Ortega 42 0 0 03 Apr 2025
Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models Xiao Liu Lijun Zhang Deepak Ganesan Hui Guan VLM 35 0 0 08 Nov 2024
Inter-Feature-Map Differential Coding of Surveillance Video Kei Iino Miho Takahashi Hiroshi Watanabe Ichiro Morinaga Shohei Enomoto Xu Shi Akira Sakamoto Takeharu Eda 29 1 0 01 Nov 2024
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity Luigi Capogrosso Enrico Fraccaroli Giulio Petrozziello Francesco Setti Samarjit Chakraborty Franco Fummi Marco Cristani 36 3 0 16 Jul 2024
Rethinking Learned Image Compression: Context is All You Need Jixiang Luo 34 0 0 16 Jul 2024
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing Luigi Capogrosso Enrico Fraccaroli Samarjit Chakraborty Franco Fummi Marco Cristani MoE 44 6 0 08 Jul 2024
Texture-guided Coding for Deep Features Lei Xiong Xin Luo Zihao Wang Chaofan He Shuyuan Zhu Bing Zeng 3DH 26 0 0 30 May 2024
Mutual Information Analysis in Multimodal Learning Systems Hadi Hadizadeh S. F. Yeganli Bahador Rashidi Ivan V. Bajić 19 2 0 21 May 2024
Compressive Feature Selection for Remote Visual Multi-Task Inference Saeed Ranjbar Alvar Ivan V. Bajić 30 0 0 15 May 2024
DMOFC: Discrimination Metric-Optimized Feature Compression Changsheng Gao Yiheng Jiang Li Li Dong Liu Feng Wu 23 4 0 07 May 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 40 3 0 25 Mar 2024
Resilience of Entropy Model in Distributed Neural Networks Milin Zhang Mohammad Abdi Shahriar Rifat Francesco Restuccia AAML 38 0 0 01 Mar 2024
Efficient IoT Inference via Context-Awareness Mohammad Mehdi Rastikerdar Jin Huang Shiwei Fang Hui Guan Deepak Ganesan 43 0 0 29 Oct 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 26 20 0 24 Aug 2023
Base Layer Efficiency in Scalable Human-Machine Coding Yalda Foroutan Alon Harell Anderson de Andrade Ivan V. Bajić 18 5 0 05 Jul 2023
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning Md. Adnan Arefeen Zhouyu Li M. Y. S. Uddin Anupam Das 27 0 0 13 May 2023
Are Visual Recognition Models Robust to Image Compression? Joao Maria Janeiro Stanislav Frolov Alaaeldin El-Nouby Jakob Verbeek VLM 28 4 0 10 Apr 2023
Privacy-Preserving Feature Coding for Machines Bardia Azizian Ivan V. Bajić 32 5 0 03 Oct 2022
I-SPLIT: Deep Network Interpretability for Split Computing Federico Cunico Luigi Capogrosso Francesco Setti D. Carra Franco Fummi Marco Cristani 37 14 0 23 Sep 2022
Rate-Distortion in Image Coding for Machines Alon Harell Anderson De Andrade Ivan V. Bajić 8 15 0 21 Sep 2022
Cross Modal Compression: Towards Human-comprehensible Semantic Compression Jiguo Li Chuanmin Jia Xinfeng Zhang Siwei Ma Wen Gao 19 18 0 06 Sep 2022
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing Parual Datta Nilesh A. Ahuja V. Somayazulu Omesh Tickoo 19 14 0 24 Aug 2022
Resource-Constrained Edge AI with Early Exit Prediction Rongkang Dong Yuyi Mao Jinchao Zhang 14 13 0 15 Jun 2022
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes Saeed Ranjbar Alvar Korcan Uyanik Ivan V. Bajić 22 4 0 03 May 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems Xin Dong B. D. Salvo Meng Li Chiao Liu Zhongnan Qu H. T. Kung Ziyun Li 3DGS 29 20 0 10 Apr 2022
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence Luhui Wang Cong Zhao Shusen Yang Xinyu Yang Julie McCann 30 1 0 24 Mar 2022
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing Yoshitomo Matsubara Davide Callegaro Sameer Singh Marco Levorato Francesco Restuccia 27 41 0 07 Jan 2022
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences Takehiro Tanaka Hyomin Choi Ivan V. Bajić 39 4 0 30 Dec 2021
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels Ashiv Dhondea R. Cohen Ivan V. Bajić 14 0 0 01 Dec 2021
Deep Joint Source-Channel Coding for Multi-Task Network Mengyang Wang Zhicong Zhang Jiahui Li Mengyao Ma Xiaopeng Fan 17 28 0 13 Sep 2021
CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence Ashiv Dhondea R. Cohen Ivan V. Bajić 11 9 0 10 Jun 2021
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence R. Cohen Hyomin Choi Ivan V. Bajić 32 23 0 15 May 2021
Lightweight compression of neural network feature tensors for collaborative intelligence R. Cohen Hyomin Choi Ivan V. Bajić 30 42 0 12 May 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle ObjD 55 8 0 03 May 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 0 08 Mar 2021
Collaborative Intelligence: Challenges and Opportunities Ivan V. Bajić Weisi Lin Yonghong Tian 18 52 0 13 Feb 2021
Analysis of Latent-Space Motion for Collaborative Intelligence Mateen Ulhaq Ivan V. Bajić 16 1 0 08 Feb 2021
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection Ivan V. Bajić 16 1 0 30 Jan 2021
Pareto-Optimal Bit Allocation for Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 13 29 0 25 Sep 2020
Bit Allocation for Multi-Task Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 24 25 0 14 Feb 2020
Back-and-Forth prediction for deep tensor compression Hyomin Choi R. Cohen Ivan V. Bajić 13 28 0 14 Feb 2020
Collaborative Inference for Efficient Remote Monitoring Chi Zhang Yong Sheng Soh Ling Feng Dinesh Manocha Qianxiao Li 18 0 0 12 Feb 2020
Shared Mobile-Cloud Inference for Collaborative Intelligence Mateen Ulhaq Ivan V. Bajić 10 4 0 01 Feb 2020
Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference Amir Erfan Eshratifar Massoud Pedram 11 3 0 14 Jan 2020
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems Jiawei Shao Jun Zhang 25 160 0 31 Oct 2019
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram 11 173 0 04 Feb 2019
Towards Collaborative Intelligence Friendly Architectures for Deep Learning Amir Erfan Eshratifar Amirhossein Esmaili Massoud Pedram 20 27 0 01 Feb 2019
Deep Frame Prediction for Video Coding Hyomin Choi Ivan V. Bajić 8 58 0 31 Dec 2018
Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing Zhuo Chen Weisi Lin Shiqi Wang Ling-yu Duan Alex C. Kot 35 16 0 17 Sep 2018