Visual Referring Expression Recognition: What Do Systems Actually Learn?

30 May 2018

Papers citing "Visual Referring Expression Recognition: What Do Systems Actually Learn?"

10 / 10 papers shown

Title
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension Junzhuo Liu X. Yang Weiwei Li Peng Wang ObjD 44 3 0 23 Sep 2024
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models Noriyuki Kojima Hadar Averbuch-Elor Yoav Artzi 21 2 0 06 Sep 2023
ULN: Towards Underspecified Vision-and-Language Navigation Weixi Feng Tsu-jui Fu Yujie Lu William Yang Wang 31 4 0 18 Oct 2022
RefCrowd: Grounding the Target in Crowd with Referring Expressions Heqian Qiu Hongliang Li Taijin Zhao Lanxiao Wang Qingbo Wu Fanman Meng ObjD 19 6 0 16 Jun 2022
Visual Spatial Reasoning Fangyu Liu Guy Edward Toh Emerson Nigel Collier ReLM 21 156 0 30 Apr 2022
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 21 158 0 15 Jul 2021
Referring Expression Comprehension: A Survey of Methods and Datasets Yanyuan Qiao Chaorui Deng Qi Wu ObjD 42 93 0 19 Jul 2020
Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge Peng Wang Dongyang Liu Hui Li Qi Wu ObjD 22 19 0 02 Jun 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 25 30 0 02 May 2020
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 28 1,155 0 06 Mar 2018