Active Learning for Deep Object Detection via Probabilistic Modeling (ICCV 2021)
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clement Farabet, Jose M Alvarez; Active Learning for Deep Object Detection via Probabilistic Modeling (ICCV 2021)
https://openaccess.thecvf.com/content/ICCV2021/papers/Choi_Active_Learning_for_Deep_Object_Detection_via_Probabilistic_Modeling_ICCV_2021_paper.pdf
Видео Active Learning for Deep Object Detection via Probabilistic Modeling (ICCV 2021) канала Dynamic Vision and Learning Group
https://openaccess.thecvf.com/content/ICCV2021/papers/Choi_Active_Learning_for_Deep_Object_Detection_via_Probabilistic_Modeling_ICCV_2021_paper.pdf
Видео Active Learning for Deep Object Detection via Probabilistic Modeling (ICCV 2021) канала Dynamic Vision and Learning Group
Показать
Комментарии отсутствуют
Информация о видео
12 октября 2021 г. 18:16:39
00:04:51
Другие видео канала
![ADL4CV:DV - Semi-Supervised Learning](https://i.ytimg.com/vi/ihkylUbqFMI/default.jpg)
![Is Geometry Enough for Matching in VisualLocalization? [ECCV22]](https://i.ytimg.com/vi/wgAOJlb2uD4/default.jpg)
![CV3DST - Exercise 1 Introduction](https://i.ytimg.com/vi/OzhLnNdV4PM/default.jpg)
![Learning a neural solver for multi-object tracking - CVPR 2020 oral](https://i.ytimg.com/vi/YWEirYMaLWc/default.jpg)
![Philipp Krähenbühl - 6th BMTT Workshop ICCV 2021](https://i.ytimg.com/vi/5S6jK2rpLl0/default.jpg)
![Goal-GAN Short Video - ACCV 2020](https://i.ytimg.com/vi/SoMbBNpAQOw/default.jpg)
![Unifying Short and Long-Term Tracking with Graph Hierarchies [CVPR 2023]](https://i.ytimg.com/vi/Q1TiZukGQYQ/default.jpg)
![ADL4CV - Generative Adversarial Networks](https://i.ytimg.com/vi/kdZG76dGPGQ/default.jpg)
![CV3DST - Exercise 2 Introduction](https://i.ytimg.com/vi/nenZ_z7P7vY/default.jpg)
![SeMoLi: What Moves Together Belongs Together (CVPR 2024)](https://i.ytimg.com/vi/2PPJzU3KJeU/default.jpg)
![CIAGAN for video anonymization - CVPR 2020](https://i.ytimg.com/vi/A6feoh9NLwQ/default.jpg)
![Charles Qi - 6th BMTT Workshop ICCV 2021](https://i.ytimg.com/vi/jaVIlNKSYvI/default.jpg)
![Introduction](https://i.ytimg.com/vi/2LaNh938Ia4/default.jpg)
![MOTSynth: How can synthetic data help pedestrian detection and tracking? (ICCV 2021)](https://i.ytimg.com/vi/dc_Z1iCceL4/default.jpg)
![CV3DST - Extra - DeepMOT (CVPR 2020)](https://i.ytimg.com/vi/jj17HVNl700/default.jpg)
![ADL4CV - Generative Adversarial Networks (part 2)](https://i.ytimg.com/vi/bnhGZ45VXZw/default.jpg)
![4D Panoptic LiDAR Segmentation (CVPR 2021)](https://i.ytimg.com/vi/29ft_i78mDE/default.jpg)
![LiDAR Challenge Winner - 6th BMTT Workshop ICCV 2021](https://i.ytimg.com/vi/vfcADpti4Sg/default.jpg)
![Center of Attention:Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation (ICCV21)](https://i.ytimg.com/vi/i4zFdz-ZzjM/default.jpg)
![MG-GAN: Multi-Generator Model Preventing OOD Samples in Pedestrian Trajectory Prediction (ICCV 2021)](https://i.ytimg.com/vi/pHD_4fEQyKA/default.jpg)