Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Ohashi, Takeshi"'
Implicit Neural Representations (INRs) and Neural Fields are a novel paradigm for signal representation, from images and audio to 3D scenes and videos. The fundamental idea is to represent a signal as a continuous and differentiable neural network. T
Externí odkaz:
http://arxiv.org/abs/2405.16807
Model pre-training has become essential in various recognition tasks. Meanwhile, with the remarkable advancements in image generation models, pre-training methods utilizing generated images have also emerged given their ability to produce unlimited t
Externí odkaz:
http://arxiv.org/abs/2404.03256
Compression of large and performant vision foundation models (VFMs) into arbitrary bit-wise operations (BitOPs) allows their deployment on various hardware. We propose to fine-tune a VFM to a mixed-precision quantized supernet. The supernet-based neu
Externí odkaz:
http://arxiv.org/abs/2403.20080
Full DNN-based image signal processors (ISPs) have been actively studied and have achieved superior image quality compared to conventional ISPs. In contrast to this trend, we propose a lightweight ISP that consists of simple conventional ISP function
Externí odkaz:
http://arxiv.org/abs/2403.10091
Unprocessed sensor outputs (RAW images) potentially improve both low-level and high-level computer vision algorithms, but the lack of large-scale RAW image datasets is a barrier to research. Thus, reversed Image Signal Processing (ISP) which converts
Externí odkaz:
http://arxiv.org/abs/2303.13916
Autor:
Nijhawan, Siddharth Sagar, Hoshikawa, Leo, Irie, Atsushi, Yoshimura, Masakazu, Otsuka, Junji, Ohashi, Takeshi
We propose a light-weight and highly efficient Joint Detection and Tracking pipeline for the task of Multi-Object Tracking using a fully-transformer architecture. It is a modified version of TransTrack, which overcomes the computational bottleneck as
Externí odkaz:
http://arxiv.org/abs/2211.05654
Image Signal Processors (ISPs) play important roles in image recognition tasks as well as in the perceptual quality of captured images. In most cases, experts make a lot of effort to manually tune many parameters of ISPs, but the parameters are sub-o
Externí odkaz:
http://arxiv.org/abs/2211.01146
Image recognition models that work in challenging environments (e.g., extremely dark, blurry, or high dynamic range conditions) must be useful. However, creating training datasets for such environments is expensive and hard due to the difficulties of
Externí odkaz:
http://arxiv.org/abs/2210.16046
Publikováno v:
EPiC Series in Computing.
With the development of the times, use the electrical devices is essential for our daily live. For using these devices, we need cables to charge or connect them. So, for people, the cables can be found almost everywhere. The cables also bring new pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4341dc7d01aacc89fa8835799134790e
https://doi.org/10.29007/ld71
https://doi.org/10.29007/ld71
Akademický článek
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