1 code implementation • 17 Oct 2022 • Ashutosh Agarwal, Chetan Arora
Typically, a skip connection module is used to fuse the encoder and decoder features, which comprises of feature map concatenation followed by a convolution operation.
Ranked #16 on Monocular Depth Estimation on KITTI Eigen split (using extra training data)
1 code implementation • 10 Jul 2022 • Ashutosh Agarwal, Chetan Arora
We also propose a Transbins module that divides the depth range into bins whose center value is estimated adaptively per image.
Ranked #26 on Monocular Depth Estimation on KITTI Eigen split (using extra training data)
no code implementations • 12 Nov 2021 • Ashutosh Agarwal, Anay Majee, Anbumani Subramanian, Chetan Arora
To overcome these pitfalls in metric learning based FSOD techniques, we introduce Attention Guided Cosine Margin (AGCM) that facilitates the creation of tighter and well separated class-specific feature clusters in the classification head of the object detector.