Golnaz Ghiasi | DeepAI

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∙ 06/02/2023

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

Observing the close relationship among panoptic, semantic and instance s...

0 Xiuye Gu, et al. ∙

∙ 03/23/2022

Revisiting Multi-Scale Feature Fusion for Semantic Segmentation

It is commonly believed that high internal resolution combined with expe...

8 Tianjian Meng, et al. ∙

∙ 12/22/2021

Open-Vocabulary Image Segmentation

We design an open-vocabulary image segmentation model to organize an ima...

8 Golnaz Ghiasi, et al. ∙

∙ 11/19/2021

Combined Scaling for Zero-shot Transfer Learning

We present a combined scaling method called BASIC that achieves 85.7 zer...

0 Hieu Pham, et al. ∙

∙ 08/25/2021

Multi-Task Self-Training for Learning General Representations

Despite the fast progress in training specialized models for various tas...

0 Golnaz Ghiasi, et al. ∙

∙ 06/10/2021

Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent

We focus on the problem of domain adaptation when the goal is shifting t...

7 Samira Abnar, et al. ∙

∙ 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...

18 Golnaz Ghiasi, et al. ∙

∙ 06/11/2020

Rethinking Pre-training and Self-training

Pre-training is a dominant paradigm in computer vision. For example, sup...

0 Barret Zoph, et al. ∙

∙ 12/10/2019

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

Convolutional neural networks typically encode an input image into a ser...

0 Xianzhi Du, et al. ∙

∙ 12/02/2019

MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices

Despite the blooming success of architecture search for vision tasks in ...

0 Bo Chen, et al. ∙

∙ 06/26/2019

Learning Data Augmentation Strategies for Object Detection

Data augmentation is a critical component of training deep learning mode...

4 Barret Zoph, et al. ∙

∙ 04/16/2019

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Current state-of-the-art convolutional architectures for object detectio...

0 Golnaz Ghiasi, et al. ∙

∙ 11/21/2018

Adjustable Real-time Style Transfer

Artistic style transfer is the problem of synthesizing an image with con...

6 Mohammad Babaeizadeh, et al. ∙

∙ 10/30/2018

DropBlock: A regularization method for convolutional networks

Deep neural networks often work well when they are over-parameterized an...

12 Golnaz Ghiasi, et al. ∙

∙ 05/18/2017

Exploring the structure of a real-time, arbitrary neural artistic stylization network

In this paper, we present a method which combines the flexibility of the...

0 Golnaz Ghiasi, et al. ∙

∙ 06/28/2015

Occlusion Coherence: Detecting and Localizing Occluded Faces

The presence of occluders significantly impacts object recognition accur...

0 Golnaz Ghiasi, et al. ∙

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