209 citations · 362 across the 12 of their papers we have counts for
4 papers · 2 filters
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision
Sophia Gu, Christopher Clark, Aniruddha Kembhavi
Many high-level skills that are required for computer vision tasks, such as parsing questions, comparing and contrasting semantics, and writing descriptions, are also required in o…
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge
Dustin Schwenk, Apoorv Khandelwal, Christopher Clark +2
The Visual Question Answering (VQA) task aspires to provide a meaningful testbed for the development of AI models that can jointly reason over visual and natural language inputs. D…
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Jiasen Lu, Christopher Clark, Rowan Zellers +2
We propose Unified-IO, a model that performs a large variety of AI tasks spanning classical computer vision tasks, including pose estimation, object detection, depth estimation and…
Webly Supervised Concept Expansion for General Purpose Vision Models
Amita Kamath, Christopher Clark, Tanmay Gupta +3
General Purpose Vision (GPV) systems are models that are designed to solve a wide array of visual tasks without requiring architectural changes. Today, GPVs primarily learn both sk…