Progress and limitations of deep networks to recognize objects in unusual poses

AAAI Conference on Artificial Intelligence (AAAI), 2022

16 July 2022

ArXiv (abs)PDF HTML Github (13★)

Papers citing "Progress and limitations of deep networks to recognize objects in unusual poses"

8 / 8 papers shown

On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

Andrea Perin

Stéphane Deny

631

16 Dec 2024

ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis

349

05 Feb 2024

PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation LearningNeural Information Processing Systems (NeurIPS), 2023

Pascal Vincent

247

08 Aug 2023

Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?

338

24 Jul 2023

Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?Annual Review of Vision Science (ARVS), 2023

Felix Wichmann

Robert Geirhos

312

26 May 2023

Investigating the Nature of 3D Generalization in Deep Neural Networks

Shoaib Ahmed Siddiqui

David M. Krueger

Thomas Breuel

158

19 Apr 2023

The Robustness Limits of SoTA Vision Models to Natural Variation

255

24 Oct 2022

Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations

Arabinda Kumar Choudhary

AI4CE

150

28 Sep 2021