Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images

30 June 2020

Papers citing "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images"

24 / 24 papers shown

Title
Hybrid Agents for Image Restoration Bingchen Li X. Li Yiting Lu Zhibo Chen 88 1 0 13 Mar 2025
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications Jordy Van Landeghem Subhajit Maity Ayan Banerjee Matthew Blaschko Marie-Francine Moens Josep Lladós Sanket Biswas 50 2 0 12 Jun 2024
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting Omar Hamed Souhail Bakkali Marie-Francine Moens Matthew Blaschko Jordy Van Landeghem 27 1 0 21 May 2024
Tiny Models are the Computational Saver for Large Models Qingyuan Wang B. Cardiff Antoine Frappé Benoît Larras Deepu John 44 2 0 26 Mar 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
Conditional computation in neural networks: principles and research trends Simone Scardapane Alessandro Baiocchi Alessio Devoto V. Marsocci Pasquale Minervini Jary Pomponi 34 1 0 12 Mar 2024
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain Qunliang Xing Mai Xu Shengxi Li Xin Deng Meisong Zheng Huaida Liu Ying Chen 45 2 0 27 Feb 2024
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation Ri Cheng Ruian He Xuhao Jiang Shili Zhou Weimin Tan Bo Yan 40 0 0 12 Dec 2023
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks Seokil Ham Jun-Gyu Park Dong-Jun Han Jaekyun Moon AAML 18 4 0 01 Nov 2023
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation Ri Cheng Xuhao Jiang Ruian He Shili Zhou Weimin Tan Bo Yan 43 2 0 31 Jul 2023
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs Pranjal Aggarwal Aman Madaan Yiming Yang Mausam LRM 33 38 0 19 May 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits Polina Karpikova Radionova Ekaterina A. Yaschenko Andrei A. Spiridonov Leonid Kostyushko Riccardo Fabbricatore Aleksei Ivakhnenko Samsung AI Center 25 3 0 20 Apr 2023
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus Qunliang Xing Mai Xu Xin Deng Yichen Guo 27 2 0 20 Nov 2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil Ashwini Pokle Kaiqu Liang Johannes Treutlein Yuhuai Wu Shaojie Bai Zico Kolter Roger C. Grosse 29 16 0 18 Nov 2022
T-RECX: Tiny-Resource Efficient Convolutional neural networks with early-eXit N. Ghanathe Steve Wilton 19 10 0 14 Jul 2022
Progressive Training of A Two-Stage Framework for Video Restoration Mei Zheng Qunliang Xing Minglang Qiao Mai Xu Lai Jiang Huaida Liu Ying-Cong Chen 38 10 0 21 Apr 2022
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results Ren Yang Radu Timofte Mei Zheng Qunliang Xing Minglang Qiao ... Yulin Huang Junying Chen I. Lee Sunder Ali Khowaja Jiseok Yoon SupR 36 33 0 20 Apr 2022
A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding Jian Yue Yanbo Gao Shuai Li Hui Yuan Frédéric Dufaux 19 10 0 24 Jun 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions Stefanos Laskaridis Alexandros Kouris Nicholas D. Lane TPM 26 107 0 09 Jun 2021
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions Royson Lee Stylianos I. Venieris Nicholas D. Lane AI4TS 57 44 0 07 Jun 2021
Multi-Exit Semantic Segmentation Networks Alexandros Kouris Stylianos I. Venieris Stefanos Laskaridis Nicholas D. Lane 20 30 0 07 Jun 2021
Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images Li Yang Mai Xu Xin Deng Bo Feng 31 28 0 10 Mar 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
Learning to Improve Image Compression without Changing the Standard Decoder Yannick Strümpler Ren Yang Radu Timofte 19 15 0 27 Sep 2020