Contributions of Shape, Texture, and Color in Visual Recognition

19 July 2022

Papers citing "Contributions of Shape, Texture, and Color in Visual Recognition"

30 / 30 papers shown

Title
On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process Shun Iwase Shuya Takahashi Nakamasa Inoue Rio Yokota Ryo Nakamura Hirokatsu Kataoka 123 0 0 04 Mar 2025
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot Bihan Wen 85 28 0 26 Sep 2021
Open-World Entity Segmentation Lu Qi Jason Kuen Yi Wang Jiuxiang Gu Hengshuang Zhao Zhe Lin Philip Torr Jiaya Jia OCL SSeg VLM 64 80 0 29 Jul 2021
Vision Transformers for Dense Prediction René Ranftl Alexey Bochkovskiy V. Koltun ViT MDE 122 1,696 0 24 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 65 453 0 03 Mar 2021
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning Mihir Prabhudesai Shamit Lal Darshan Patil H. Tung Adam W. Harley Katerina Fragkiadaki OCL 3DV 3DPC 79 20 0 06 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 474 40,217 0 22 Oct 2020
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems Shixian Wen A. Rios Yunhao Ge Laurent Itti OOD AAML 40 18 0 27 Sep 2020
Zero-shot Synthesis with Group-Supervised Learning Yunhao Ge Sami Abu-El-Haija Gan Xin Laurent Itti 21 37 0 14 Sep 2020
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer René Ranftl Katrin Lasinger David Hafner Konrad Schindler V. Koltun MDE 185 1,774 0 02 Jul 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 76 561 0 20 Mar 2019
Learning Compositional Representations for Few-Shot Recognition P. Tokmakov Yu-Xiong Wang M. Hebert OCL 50 124 0 21 Dec 2018
Visual Object Networks: Image Generation with Disentangled 3D Representation Jun-Yan Zhu Zhoutong Zhang Chengkai Zhang Jiajun Wu Antonio Torralba J. Tenenbaum Bill Freeman DRL CoGe OCL 65 252 0 06 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 96 2,647 0 29 Nov 2018
Unsupervised Meta-Learning For Few-Shot Image Classification Siavash Khodadadeh Ladislau Bölöni M. Shah SSL VLM 44 138 0 28 Nov 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 246 4,035 0 16 Nov 2017
Recent Advances in Zero-shot Recognition Yanwei Fu Tao Xiang Yu-Gang Jiang Xiangyang Xue Leonid Sigal S. Gong BDL VLM 43 177 0 13 Oct 2017
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning Shafin Rahman Salman H. Khan Fatih Porikli 67 173 0 27 Jun 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 173 4,331 0 20 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 255 8,072 0 15 Mar 2017
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge R. Speer Joshua Chin Catherine Havasi 142 2,882 0 12 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 304 19,560 0 21 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 240 19,796 0 07 Oct 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 99 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 327 7,299 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 192,638 0 10 Dec 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 321 13,107 0 12 Mar 2015
Towards Open World Recognition Abhijit Bendale Terrance Boult 72 563 0 18 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.2K 99,991 0 04 Sep 2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition C. Cadieu Ha Hong Daniel L. K. Yamins Nicolas Pinto Diego Ardila E. Solomon N. Majaj J. DiCarlo 82 784 0 12 Jun 2014