[234]Fast & Accurate Data Annotation Pipeline for AI applications
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This document provides a summary of new datasets and papers related to computer vision tasks including object detection, image matting, person pose estimation, pedestrian detection, and person instance segmentation. A total of 8 papers and their associated datasets are listed with brief descriptions of the core contributions or techniques developed in each.
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[234]Fast & Accurate Data Annotation Pipeline for AI applications
- 14. NEW DATASET
- 16. ● ○ ● ○
- 17. ● ○ ● ○
- 73. Peng MegDet: A Large Mini-Batch Object Detector Diba Weakly Supervised Cascaded Convolutional Networks Xu Deep Image Matting
- 74. Papandreou PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part- Based, Geometric Embedding Model Zhou Bi-box Regression for Pedestrian Detection and Occlusion Estimation Tripathi Pose2Instance: Harnessing Keypoints for Person Instance Segmentation Papandreou Towards Accurate Multi-person Pose Estimation in the Wild
- 90. 𝛼
- 97. p 1-p
- 103. → → → →