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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
30988 条 记 录,以下是4661-4670 订阅
排序:
Temporal Query Networks for Fine-grained Video Understanding
Temporal Query Networks for Fine-grained Video Understanding
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Chuhan Gupta, Ankush Zisserman, Andrew Univ Oxford Oxford England DeepMind London England
Our objective in this work is fine-grained classification of actions in untrimmed videos, where the actions may be temporally extended or may span only a few frames of the video. We cast this into a query-response mec... 详细信息
来源: 评论
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
Enhancing Quality of Compressed Images by Mitigating Enhance...
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conference on computer vision and pattern recognition (CVPR)
作者: Qunliang Xing Mai Xu Shengxi Li Xin Deng Meisong Zheng Huaida Liu Ying Chen Beihang University
Existing quality enhancement methods for compressed images focus on aligning the enhancement domain with the raw domain to yield realistic images. However, these methods exhibit a pervasive enhancement bias towards th... 详细信息
来源: 评论
Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views
Fusing Personal and Environmental Cues for Identification an...
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conference on computer vision and pattern recognition (CVPR)
作者: Ziwei Zhao Yuchen Wang Chuhua Wang Indiana University Bloomington
As wearable cameras become more popular, an important question emerges: how to identify camera wearers within the perspective of conventional static cameras. The drastic difference between first-person (egocentric) an... 详细信息
来源: 评论
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
Entity-NeRF: Detecting and Removing Moving Entities in Urban...
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conference on computer vision and pattern recognition (CVPR)
作者: Takashi Otonari Satoshi Ikehata Kiyoharu Aizawa The University of Tokyo National Institute of Informatics (NII) Tokyo Institute of Technology
Recent advancements in the study of Neural Radiance Fields (NeRF) for dynamic scenes often involve explicit modeling of scene dynamics. However, this approach faces challenges in modeling scene dynamics in urban envir... 详细信息
来源: 评论
SaCo Loss: Sample-Wise Affinity Consistency for vision-Language Pre-Training
SaCo Loss: Sample-Wise Affinity Consistency for Vision-Langu...
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conference on computer vision and pattern recognition (CVPR)
作者: Sitong Wu Haoru Tan Zhuotao Tian Yukang Chen Xiaojuan Qi Jiaya Jia CUHK HKU SmartMore
vision-language pre-training (VLP) aims to learn joint representations of vision and language modalities. The contrastive paradigm is currently dominant in this field. However, we observe a notable misalignment phenom... 详细信息
来源: 评论
Insights from the Use of Previously Unseen Neural Architecture Search Datasets
Insights from the Use of Previously Unseen Neural Architectu...
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conference on computer vision and pattern recognition (CVPR)
作者: Rob Geada David Towers Matthew Forshaw Amir Atapour-Abarghouei A. Stephen McGough Newcastle University UK- The Alan Turing Institute UK Durham University UK-
The boundless possibility of neural networks which can be used to solve a problem - each with different performance - leads to a situation where a Deep Learning expert is required to identify the best neural network. ... 详细信息
来源: 评论
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
IMPRINT: Generative Object Compositing by Learning Identity-...
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conference on computer vision and pattern recognition (CVPR)
作者: Yizhi Song Zhifei Zhang Zhe Lin Scott Cohen Brian Price Jianming Zhang Soo Ye Kim He Zhang Wei Xiong Daniel Aliaga Purdue University Adobe Research
Generative object compositing emerges as a promising new avenue for compositional image editing. However, the requirement of object identity preservation poses a significant challenge, limiting practical usage of most... 详细信息
来源: 评论
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
PANDA: Adapting Pretrained Features for Anomaly Detection an...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Reiss, Tal Cohen, Niv Bergman, Liron Hoshen, Yedid Hebrew Univ Jerusalem Sch Comp Sci & Engn Jerusalem Israel
Anomaly detection methods require high-quality features. In recent years, the anomaly detection community has attempted to obtain better features using advances in deep self-supervised feature learning. Surprisingly, ... 详细信息
来源: 评论
MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
MFP: Making Full Use of Probability Maps for Interactive Ima...
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conference on computer vision and pattern recognition (CVPR)
作者: Chaewon Lee Seon-Ho Lee Chang-Su Kim Korea University
In recent interactive segmentation algorithms, previous probability maps are used as network input to help predictions in the current segmentation round. However, despite the utilization of previous masks, useful info... 详细信息
来源: 评论
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place recognition
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descript...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hausler, Stephen Garg, Sourav Xu, Ming Milford, Michael Fischer, Tobias Queensland Univ Technol QUT Ctr Robot Brisbane Qld Australia
Visual Place recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing world. This paper introduces Patch-Ne... 详细信息
来源: 评论