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researcher

Raja Sunkara

2 papers hereh-index 3729 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedNo More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

49 citations · 68 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 19 cited

YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention

Raja Sunkara, Tie Luo

We introduce YOGA, a deep learning based yet lightweight object detection model that can operate on low-end edge devices while still achieving competitive accuracy. The YOGA archit…

cs.CV2022★ 49 cited

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

Raja Sunkara, Tie Luo

Convolutional neural networks (CNNs) have made resounding success in many computer vision tasks such as image classification and object detection. However, their performance degrad…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.