2025
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
ICLR 2025poster
The dynamic imbalance of the fore-background is a major challenge in video object counting, which is usually caused by the sparsity of target objects. This remains understudied in existing works and often leads to severe under-/over-prediction errors. To tackle this issue in video object counting, w…