7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 7 cited
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
Ashutosh Agarwal, Chetan Arora
Monocular Depth Estimation (MDE) aims to predict pixel-wise depth given a single RGB image. For both, the convolutional as well as the recent attention-based models, encoder-decode…
cs.CV2022★ 2 cited
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion
Ashutosh Agarwal, Chetan Arora
Attention-based models such as transformers have shown outstanding performance on dense prediction tasks, such as semantic segmentation, owing to their capability of capturing long…
cs.CV2021
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection
Ashutosh Agarwal, Anay Majee, Anbumani Subramanian +1
Few-shot object detection (FSOD) localizes and classifies objects in an image given only a few data samples. Recent trends in FSOD research show the adoption of metric and meta-lea…