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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...
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03/23/2022
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
It is commonly believed that high internal resolution combined with expe...
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12/22/2021
Open-Vocabulary Image Segmentation
We design an open-vocabulary image segmentation model to organize an ima...
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11/19/2021
Combined Scaling for Zero-shot Transfer Learning
We present a combined scaling method called BASIC that achieves 85.7 zer...
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08/25/2021
Multi-Task Self-Training for Learning General Representations
Despite the fast progress in training specialized models for various tas...
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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...
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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...
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06/11/2020
Rethinking Pre-training and Self-training
Pre-training is a dominant paradigm in computer vision. For example, sup...
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12/10/2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional neural networks typically encode an input image into a ser...
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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 ...
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06/26/2019
Learning Data Augmentation Strategies for Object Detection
Data augmentation is a critical component of training deep learning mode...
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04/16/2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Current state-of-the-art convolutional architectures for object detectio...
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11/21/2018
Adjustable Real-time Style Transfer
Artistic style transfer is the problem of synthesizing an image with con...
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10/30/2018
DropBlock: A regularization method for convolutional networks
Deep neural networks often work well when they are over-parameterized an...
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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...
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06/28/2015
