Contributions of Shape, Texture, and Color in Visual Recognition

Contributions of Shape, Texture, and Color in Visual Recognition

19 July 2022

Zhi-Qin John Xu

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

10 / 10 papers shown

Title
Haphazard Inputs as Images in Online Learning Rohit Agarwal Aryan Dessai A. Sekh Krishna Agarwal Alexander Horsch D. Prasad OOD 51 0 0 03 Apr 2025
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 64 0 0 04 Mar 2025
Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion Model Guoqing Zhu Honghu Pan Qiang Wang Chao Tian Chao Yang Zhenyu He 25 0 0 07 Aug 2024
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation Yihong Wu Yuwen Heng Mahesan Niranjan Hansung Kim MDE 13 1 0 16 Nov 2023
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models Takami Sato Justin Yue Nanze Chen Ningfei Wang Qi Alfred Chen DiffM 9 2 0 30 Aug 2023
Texture Learning Domain Randomization for Domain Generalized Segmentation Sunghwan Kim Dae-Hwan Kim Hoseong Kim 13 18 0 21 Mar 2023
The Influences of Color and Shape Features in Visual Contrastive Learning Xiao-qiong Zhuang SSL 11 0 0 29 Jan 2023
Representation Learning by Detecting Incorrect Location Embeddings Sepehr Sameni Simon Jenni Paolo Favaro ViT 15 4 0 10 Apr 2022
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot B. Wen 39 26 0 26 Sep 2021
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016