An Ensemble Model for Distorted Images in Real Scenarios

26 September 2023

Papers citing "An Ensemble Model for Distorted Images in Real Scenarios"

9 / 9 papers shown

Title
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 168 6,560 0 06 Jul 2022
Simple Baselines for Image Restoration Liangyu Chen Xiaojie Chu Xinming Zhang Jian Sun 111 892 0 10 Apr 2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training Yuanhao Cai Xiaowan Hu Haoqian Wang Yulun Zhang Hanspeter Pfister D. Wei 53 66 0 06 Apr 2022
Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang ViT 180 2,243 0 18 Nov 2021
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 129 1,173 0 22 Jul 2021
HINet: Half Instance Normalization Network for Image Restoration Liangyu Chen Xin Lu Jie Zhang Xiaojie Chu Chengpeng Chen 86 478 0 13 May 2021
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 130 21,482 0 08 Apr 2018
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 488 43,694 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014