Papers › Few-shot Object Counting and Detection
Few-shot Object Counting and Detection
Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai
We tackle a new task of few-shot object counting and detection. Given a few exemplar bounding boxes of a target object class, we seek to count and detect all objects of the target class. This task shares the same supervision as the few-shot object counting but additionally outputs the object bounding boxes along with the total object count. To address this challenging problem, we introduce a novel two-stage training strategy and a novel uncertainty-aware few-shot object detector: Counting-DETR. The former is aimed at generating pseudo ground-truth bounding boxes to train the latter. The latter leverages the pseudo ground-truth provided by the former but takes the necessary steps to account for the imperfection of pseudo ground-truth. To validate the performance of our method on the new task, we introduce two new datasets named FSCD-147 and FSCD-LVIS. Both datasets contain images with complex scenes, multiple object classes per image, and a huge variation in object shapes, sizes, and appearance. Our proposed approach outperforms very strong baselines adapted from few-shot object counting and few-shot object detection with a large margin in both counting and detection metrics. The code and models are available at https://github.com/VinAIResearch/Counting-DETR.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Few-shot Object Counting and Detection | FSC147 | Counting-DETR | AP(test) | 22.66 | #4 of 4 | Archive leaderboard | report |
| Few-shot Object Counting and Detection | FSC147 | Counting-DETR | AP50(test) | 50.57 | #4 of 4 | Archive leaderboard | report |
| Few-shot Object Counting and Detection | FSC147 | Counting-DETR | MAE(test) | 16.79 | #4 of 4 | Archive leaderboard | report |
| Few-shot Object Counting and Detection | FSC147 | Counting-DETR | RMSE(test) | 123.56 | #4 of 4 | Archive leaderboard | report |
| Object Counting | FSC147 | Counting-DETR | MAE(test) | 16.79 | #16 of 19 | Archive leaderboard | report |
| Object Counting | FSC147 | Counting-DETR | RMSE(test) | 123.56 | #16 of 19 | 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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