Completely Self-Supervised Crowd Counting via Distribution Matching

14 Sep 2020Deepak Babu SamAbhinav AgarwallaJimmy JosephVishwanath A. SindagiR. Venkatesh BabuVishal M. Patel

Dense crowd counting is a challenging task that demands millions of head annotations for training models. Though existing self-supervised approaches could learn good representations, they require some labeled data to map these features to the end task of density estimation... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet