24 citations · 24 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang +4
While neural symbolic methods demonstrate impressive performance in visual question answering on synthetic images, their performance suffers on real images. We identify that the lo…
cs.CV2021
Learning to Predict Visual Attributes in the Wild
Khoi Pham, Kushal Kafle, Zhe Lin +4
Visual attributes constitute a large portion of information contained in a scene. Objects can be described using a wide variety of attributes which portray their visual appearance…
cs.CL2017★ 24 cited
Named Entity Recognition with stack residual LSTM and trainable bias decoding
Quan Tran, Andrew MacKinlay, Antonio Jimeno Yepes
Recurrent Neural Network models are the state-of-the-art for Named Entity Recognition (NER). We present two innovations to improve the performance of these models. The first innova…