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Top-GAP: Integrating Size Priors in CNNs for more Interpretability,
  Robustness, and Bias Mitigation

Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation

7 September 2024
Lars Nieradzik
Henrike Stephani
Janis Keuper
    FAtt
    AAML
ArXivPDFHTML

Papers citing "Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation"

2 / 2 papers shown
Title
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a
  Geometric Prior
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior
Xiaowei Zhou
Menglong Zhu
Georgios Pavlakos
Spyridon Leonardos
Konstantinos G. Derpanis
Kostas Daniilidis
3DH
83
210
0
09 Jan 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
154
3,574
0
09 Dec 2016
1