자료유형  

 학위논문

Control Number  

0016931648

International Standard Book Number  

9798379711405

Dewey Decimal Classification Number  

004

Main Entry-Personal Name  

Bowen, Richard Strong.

Publication, Distribution, etc. (Imprint  

[S.l.] : Cornell University., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(103 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 84-12, Section: A.

General Note  

Advisor: Zabih, Ramin.

Dissertation Note  

Thesis (Ph.D.)--Cornell University, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약In both human and machine perception, objects play an essential role. A key property is that they behave atomically: we may approximate them as moving rigidly, or treat them as smallest factors into which we decompose a scene, or predict the whole of their appearance having seen just a part. This simple fact about objects pervades computer vision: in the datasets and upstream tasks we use for pretraining, in explicit or implicit priors, and in many other ways. In this thesis, I present three works, which show a spectrum of the uses of object atomicity. In we took prior segmentation methods and used them as off-the-shelf signals to improve image stitching. In we use, at train time, labelled data but not pre-trained object segmentation to perform object-aware extrapolation. Finally in, we endow our prior knowledge about objectness as a low-rank constraint but do not use labelled data at all - in fact, we show how we can recover some information about object boundaries.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Information science.

Index Term-Uncontrolled  

Computer vision

Index Term-Uncontrolled  

Machine perception

Index Term-Uncontrolled  

Object atomicity

Index Term-Uncontrolled  

Data

Index Term-Uncontrolled  

Image stitching

Added Entry-Corporate Name  

Cornell University Computer Science

Host Item Entry  

Dissertations Abstracts International. 84-12A.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

로그인을 한후 보실 수 있는 자료입니다.

Control Number  

joongbu:642836