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Evaluating Context for Deep Object Detectors

Evaluating Context for Deep Object Detectors

5 May 2022
O. Kayhan
J. C. V. Gemert
    ObjD
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Papers citing "Evaluating Context for Deep Object Detectors"

5 / 5 papers shown
Title
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
J. C. V. Gemert
VLM
42
0
0
26 Jun 2024
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
J. C. V. Gemert
18
9
0
31 May 2023
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for
  Urban-Scene Segmentation
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
Liang Zeng
A. Lengyel
Nergis Tomen
J. C. V. Gemert
AI4TS
19
0
0
25 Nov 2022
Humans disagree with the IoU for measuring object detector localization
  error
Humans disagree with the IoU for measuring object detector localization error
Ombretta Strafforello
Vanathi Rajasekart
O. Kayhan
Oana Inel
J. C. V. Gemert
9
4
0
28 Jul 2022
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
209
232
0
16 Mar 2020
1