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AI Notes Deep Learning, Computer Vision, PyTorch, OpenCV, and more Menu Close Home Top Cited Papers: ICCV 2019 Searching for MobileNetV3Andrew Howard;Mark Sandler;Bo Chen;Weijun Wang;Liang-Chieh Chen;Mingxing Tan;Grace Chu;Vijay Vasudevan;Yukun Zhu;Ruoming Pang;Hartwig Adam;Quoc LePublication Year: 2019,Page(s):1314 – 1324Cited by: Papers (789) FCOS: Fully Convolutional One-Stage Object DetectionZhi Tian;Chunhua Shen;Hao Chen;Tong HePublication Year: 2019,Page(s):9626 – 9635Cited by: Papers (783) CenterNet: Keypoint Triplets for Object DetectionKaiwen Duan;Song Bai;Lingxi Xie;Honggang Qi;Qingming Huang;Qi TianPublication Year: 2019,Page(s):6568 – 6577Cited…… Continue reading Top Cited Papers: ICCV 2019 Published May 2, 2022 Categorized as Paper Collection Top Cited Papers: ICCV 2017 Mask R-CNNKaiming He;Georgia Gkioxari;Piotr Dollár;Ross GirshickPublication Year: 2017,Page(s):2980 – 2988Cited by: Papers (7582) Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial NetworksJun-Yan Zhu;Taesung Park;Phillip Isola;Alexei A. EfrosPublication Year: 2017,Page(s):2242 – 2251Cited by: Papers (5193) Focal Loss for Dense Object DetectionTsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He;Piotr DollárPublication Year: 2017,Page(s):2999 – 3007Cited by: Papers (4736) Grad-CAM: Visual Explanations from Deep…… Continue reading Top Cited Papers: ICCV 2017 Published May 2, 2022 Categorized as Paper Collection Top Cited Papers: ICCV 2015 Fast R-CNNRoss GirshickPublication Year: 2015,Page(s):1440 – 1448Cited by: Papers (9144) | Patents (75) Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet ClassificationKaiming He;Xiangyu Zhang;Shaoqing Ren;Jian SunPublication Year: 2015,Page(s):1026 – 1034Cited by: Papers (6299) | Patents (18) Learning Spatiotemporal Features with 3D Convolutional NetworksDu Tran;Lubomir Bourdev;Rob Fergus;Lorenzo Torresani;Manohar PaluriPublication Year: 2015,Page(s):4489 – 4497Cited by: Papers…… Continue reading Top Cited Papers: ICCV 2015 Published May 2, 2022 Categorized as Paper Collection Person Re-ID Datasets To evaluate a PReID method, some factors must be taken into account to reach a reliable recognition rate. This task faces challenges due to occlusions (e.g. apparent on i-LIDS data set) and illumination variation (common in most of them). On the other hand, background and foreground segmentation in order to distinguish person’s body is challenging…… Continue reading Person Re-ID Datasets Published December 29, 2020 Categorized as Dataset Tagged Dataset , Person Re-ID Video Action Recognition Datasets Video Action Understanding: Tasks Different tasks of video action understanding Action Recognition (AR) is the process of classifying a complete input (either an entire video or a specified segment) by the action occurring in the input.Action Prediction (AP) is the process of classifying an incomplete input by the action yet to be observed.Temporal Action Proposal…… Continue reading Video Action Recognition Datasets Published December 28, 2020 Categorized as Dataset Tagged Action Recognition , Dataset Image Colorization Datasets The datasets available for evaluation are the most commonly used ones in the literature for other tasks such as detection, classification, segmentation etc. Where the images are first converted to grayscale, and then apply colorization models to analyze its performance. COCO-Stuff COCO-stuff dataset: The Common Objects in COntext-stuff (COCO-stuff) is constructed by annotating the original…… Continue reading Image Colorization Datasets Published December 27, 2020 Categorized as Dataset Tagged Dataset , Image Colorization Video Super Resolution Datasets Video Super Resolution Datasets Download: Vid4, REDS, Vimeo90k, UVG, etc Published December 26, 2020 Categorized as Dataset Tagged Dataset , Super-Resolution Visual Object Tracking Datasets Visual Object Tracking Datasets: OTB2013, OTB2015, TC-120, VOT2017, etc Published December 23, 2020 Categorized as Dataset Tagged Dataset , Object Tracking [Jupyter Notebook Error]ipykernel_launcher.py: error: unrecognized arguments: -f How to fix the Jupyter Notebook Error: ipykernel_launcher.py: error: unrecognized arguments: -f Published December 14, 2020 Categorized as Error Fix Tagged Error Fix , Jupyter Notebook , Python Image Matching Datasets This post summarized the most used benchmark datasets for the Image Matching Task. Published December 14, 2020 Categorized as Dataset Tagged Dataset , Image Matching Posts navigation Page 1 … Page 3 Older posts AI Notes Proudly powered by WordPress . We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent. Cookie Settings Accept All Manage consent Close Privacy Overview This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on . Necessary Necessary Always Enabled Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information. 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