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Irrelevant Pixels are Everywhere: Find and Exclude Them for More
  Efficient Computer Vision

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision

21 July 2022
Caleb Tung
Abhinav Goel
Xiao Hu
Nick Eliopoulos
Emmanuel S. Amobi
George K. Thiruvathukal
Vipin Chaudhary
Yu Lu
ArXivPDFHTML

Papers citing "Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision"

3 / 3 papers shown
Title
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Thomas Verelst
Tinne Tuytelaars
33
149
0
06 Dec 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
168
1,765
0
02 Jul 2019
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
62
1,235
0
28 Nov 2016
1