Papers › Switching Convolutional Neural Network for Crowd Counting
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu
We propose a novel crowd counting model that maps a given crowd scene to its density. Crowd analysis is compounded by myriad of factors like inter-occlusion between people due to extreme crowding, high similarity of appearance between people and background elements, and large variability of camera view-points. Current state-of-the art approaches tackle these factors by using multi-scale CNN architectures, recurrent networks and late fusion of features from multi-column CNN with different receptive fields. We propose switching convolutional neural network that leverages variation of crowd density within an image to improve the accuracy and localization of the predicted crowd count. Patches from a grid within a crowd scene are relayed to independent CNN regressors based on crowd count prediction quality of the CNN established during training. The independent CNN regressors are designed to have different receptive fields and a switch classifier is trained to relay the crowd scene patch to the best CNN regressor. We perform extensive experiments on all major crowd counting datasets and evidence better performance compared to current state-of-the-art methods. We provide interpretable representations of the multichotomy of space of crowd scene patches inferred from the switch. It is observed that the switch relays an image patch to a particular CNN column based on density of crowd.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Crowd Counting | ShanghaiTech A | Switch-CNN | MAE | 90.4 | #32 of 35 | Archive leaderboard | report |
| Crowd Counting | ShanghaiTech B | Switch-CNN | MAE | 21.6 | #30 of 32 | Archive leaderboard | report |
| Crowd Counting | UCF CC 50 | Switch-CNN | MAE | 318.1 | #17 of 22 | Archive leaderboard | report |
| Crowd Counting | UCF-QNRF | Switch-CNN | MAE | 228 | #19 of 23 | Archive leaderboard | report |
| Crowd Counting | Venice | Switch-CNN | MAE | 52.8 | #4 of 5 | Archive leaderboard | report |
| Crowd Counting | WorldExpo’10 | Switch-CNN | Average MAE | 9.4 | #11 of 15 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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