Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

鎮(zhèn)痛劑

SCOAD: Single-Frame Click Supervision for?Online Action Detection mines pseudo-action instances under the supervision of click labels. Meanwhile, we generate video similarity instances offline by the similarity between video frames and use it to perform finer granularity filtering of error instances generated by AIM. OAD is trained jointly with AIM for online act

含水層

Neural Puppeteer: Keypoint-Based Neural Rendering of?Dynamic Shapesrevious work, we do not perform reconstruction in the 3D domain, but project the 3D features into 2D cameras and perform reconstruction of 2D RGB-D images from these projected features, which is significantly faster than volumetric rendering. Our synthetic dataset will be publicly available, to furt

emulsify

罐里有戒指

Cody Freitag,Ilan Komargodski,Rafael Passthe RGB feature extractor to concentrate more on forgery traces from an MSR perspective. The feature re-weighted interaction module implicitly learns the correlation between the two complementary modalities to promote feature learning for each other. Comprehensive experiments on several benchmarks s

cathartic

Jean-Sébastien Coron,Agnese Gini is proved to be a special case of the proposed loss. We analyze and explain the proposed GB-CosFace geometrically. Comprehensive experiments on multiple face recognition benchmarks indicate that the proposed GB-CosFace outperforms current state-of-the-art face recognition losses in mainstream face

Crater

仔細(xì)檢查

使隔離

https://doi.org/10.1007/978-3-030-56877-1ompared approaches. With extensive subjective, quantitative, and qualitative evaluations, the proposed approach consistently achieves better performance in terms of facial attribute heredity and image generation fidelity than other compared state-of-the-art methods. This demonstrates the effectivene

Coeval

Moderate