5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 5 cited
AdaMixer: A Fast-Converging Query-Based Object Detector
Ziteng Gao, Limin Wang, Bing Han +1
Traditional object detectors employ the dense paradigm of scanning over locations and scales in an image. The recent query-based object detectors break this convention by decoding…
cs.CV2021
Mutual Supervision for Dense Object Detection
Ziteng Gao, Limin Wang, Gangshan Wu
The classification and regression head are both indispensable components to build up a dense object detector, which are usually supervised by the same training samples and thus exp…
cs.CV2019
LIP: Local Importance-based Pooling
Ziteng Gao, Limin Wang, Gangshan Wu
Spatial downsampling layers are favored in convolutional neural networks (CNNs) to downscale feature maps for larger receptive fields and less memory consumption. However, for disc…