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06/15/2023
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
We propose Encyclopedic-VQA, a large scale visual question answering (VQ...
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06/09/2022
The Missing Link: Finding label relations across datasets
Computer Vision is driven by the many datasets which can be used for tra...
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04/04/2022
How stable are Transferability Metrics evaluations?
Transferability metrics is a maturing field with increasing interest, wh...
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11/25/2021
Transferability Metrics for Selecting Source Model Ensembles
We address the problem of ensemble selection in transfer learning: Given...
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11/24/2021
Transferability Estimation using Bhattacharyya Class Separability
Transfer learning has become a popular method for leveraging pre-trained...
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03/24/2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Transfer learning enables to re-use knowledge learned on a source task t...
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04/08/2020
Training Neural Networks to Produce Compatible Features
This paper makes a first step towards compatible and hence reusable netw...
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12/06/2019
Connecting Vision and Language with Localized Narratives
We propose Localized Narratives, an efficient way to collect image capti...
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11/28/2019
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
In interactive object segmentation a user collaborates with a computer v...
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11/02/2018
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
We present Open Images V4, a dataset of 9.2M images with unified annotat...
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12/21/2017
Learning Intelligent Dialogs for Bounding Box Annotation
We introduce Intelligent Annotation Dialogs for bounding box annotation....
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07/18/2017
The Devil is in the Decoder
Many machine vision applications require predictions for every pixel of ...
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12/12/2016
COCO-Stuff: Thing and Stuff Classes in Context
Semantic classes can be either things (objects with a well-defined shape...
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07/26/2016
Region-based semantic segmentation with end-to-end training
We propose a novel method for semantic segmentation, the task of labelin...
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07/06/2015
Joint Calibration for Semantic Segmentation
Semantic segmentation is the task of assigning a class-label to each pix...
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04/24/2015