4 citations · 7 across the 9 of their papers we have counts for
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cs.CV2022★ 4 cited
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin +4
Visual Question Answering (VQA) models often perform poorly on out-of-distribution data and struggle on domain generalization. Due to the multi-modal nature of this task, multiple…
cs.CV2022★ 2 cited
Contributions of Shape, Texture, and Color in Visual Recognition
Yunhao Ge, Yao Xiao, Zhi Xu +2
We investigate the contributions of three important features of the human visual system (HVS)~ -- ~shape, texture, and color ~ -- ~to object classification. We build a humanoid vis…