Papers with Code 아카이브

Face Model

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
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평가표
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데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

FaceScape

FaceScape dataset provides 3D face models, parametric models and multi-view images in large-scale and high-quality. The camera parameters, the age and gender of the subjects are also included. The data have been released to public for non-commercial research purpose. Source: FaceScape

HUMBI

A new large multiview dataset for human body expressions with natural clothing. The goal of HUMBI is to facilitate modeling view-specific appearance and geometry of gaze, face, hand, body, and garment from assorted people. 107 synchronized HD cameras are used to capture 772 distinctive subjects across gender, ethnicity, age, and physical condition. Source: HUMBI: A Large Multiview Dataset of Human Body Expressions

MeGlass

MeGlass is an eyeglass dataset originally designed for eyeglass face recognition evaluation. All the face images are selected and cleaned from MegaFace. Each identity has at least two face images with eyeglass and two face images without eyeglass. It contains 47,817 images from 1,710 different identities. Source: https://github.com/cleardusk/MeGlass Image Source: https://github.com/cleardusk/MeGlass

Procedural Human Action Videos

Procedural Human Action Videos contains a total of 39,982 videos, with more than 1,000 examples for each action of 35 categories. Source: Procedural Generation of Videos to Train Deep Action Recognition Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.