Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline

1 code implementation • CVPR 2022 • Kailai Zhou, Yibo Wang, Tao Lv, Yunqian Li, Linsen Chen, Qiu Shen, Xun Cao

We endeavor on a rarely explored task named Insubstantial Object Detection (IOD), which aims to localize the object with following characteristics: (1) amorphous shape with indistinct boundary; (2) similarity to surroundings; (3) absence in color.

object-detection Object Detection