research
∙
03/29/2023
Towards Understanding the Effect of Pretraining Label Granularity
In this paper, we study how pretraining label granularity affects the ge...
share
research
∙
10/20/2022
MovieCLIP: Visual Scene Recognition in Movies
Longform media such as movies have complex narrative structures, with ev...
research
∙
12/22/2021
Open-Vocabulary Image Segmentation
We design an open-vocabulary image segmentation model to organize an ima...
research
∙
06/25/2021
Single Image Texture Translation for Data Augmentation
Recent advances in image synthesis enables one to translate images by le...
research
∙
06/18/2021
Bridging the Gap Between Object Detection and User Intent via Query-Modulation
When interacting with objects through cameras, or pictures, users often ...
research
∙
04/28/2021
Zero-Shot Detection via Vision and Language Knowledge Distillation
Zero-shot image classification has made promising progress by training t...
research
∙
04/22/2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
We present a framework for learning multimodal representations from unla...
research
∙
12/13/2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Building instance segmentation models that are data-efficient and can ha...
research
∙
06/11/2020
Rethinking Pre-training and Self-training
Pre-training is a dominant paradigm in computer vision. For example, sup...
research
∙
04/26/2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute...
research
∙
12/10/2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional neural networks typically encode an input image into a ser...
research
∙
06/13/2019
