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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是251-260 订阅
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Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis
Lacunarity Pooling Layers for Plant Image Classification usi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mohan, Akshatha Peeples, Joshua Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77840 USA
Pooling layers (e.g., max and average) may overlook important information encoded in the spatial arrangement of pixel intensity and/or feature values. We propose a novel lacunarity pooling layer that aims to capture t... 详细信息
来源: 评论
Active vision Dataset Benchmark  31
Active Vision Dataset Benchmark
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ammirato, Phil Berg, Alexander C. Kosecka, Jana Univ N Carolina Chapel Hill NC 27514 USA George Mason Univ Fairfax VA 22030 USA
Several recent efforts in computer vision indicate a trend toward studying and understanding problems in larger scale environments, beyond single images, and focus on connections to tasks in navigation, mobile manipul... 详细信息
来源: 评论
Cyclical Pruning for Sparse Neural Networks
Cyclical Pruning for Sparse Neural Networks
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Srinivas, Suraj Kuzmin, Andrey Nagel, Markus van Baalen, Mart Skliar, Andrii Blankevoort, Tijmen Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland Qualcomm AI Res Amsterdam Netherlands
Current methods for pruning neural network weights iteratively apply magnitude-based pruning on the model weights and re-train the resulting model to recover lost accuracy. In this work, we show that such strategies d... 详细信息
来源: 评论
Towards efficient feature sharing in MIMO architectures
Towards efficient feature sharing in MIMO architectures
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sun, Remy Rame, Alexandre Masson, Clement Thome, Nicolas Cord, Matthieu Sorbonne Univ MLIA ISIR Paris France Conservatoire Natl Arts & Metiers CEDRIC Vertigo Paris France Thales Land & Air Syst Elancourt France Valeo Ai Paris France
Multi-input multi-output architectures propose to train multiple subnetworks within one base network and then average the subnetwork predictions to benefit from ensembling for free. Despite some relative success, thes... 详细信息
来源: 评论
Domain Adaptable Normalization for Semi-Supervised Action recognition in the Dark
Domain Adaptable Normalization for Semi-Supervised Action Re...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liang, Zixi Chen, Jiajun Chen, Rui Zheng, Bingbing Zhou, Mingyue Gao, Huaien Lin, Shan Guangzhou Xi Ma Informat Technol Co Guangzhou Peoples R China
Action recognition in the dark is gaining more and more attention with the rapid development of intelligent recognition applications in real-world applications, e.g. self-driving at night and night surveillance. Howev... 详细信息
来源: 评论
A stroke of genius: Predicting the next move in badminton
A stroke of genius: Predicting the next move in badminton
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ibh, Magnus Grasshof, Stella Hansen, Dan Witzner IT Univ Copenhagen Machine Learning Grp Copenhagen Denmark
This paper presents, RallyTemPose, a transformer encoder-decoder model for predicting future badminton strokes based on previous rally actions. The model uses court position, skeleton poses, and player-specific embedd... 详细信息
来源: 评论
The Casual Conversations v2 Dataset A diverse, large benchmark for measuring fairness and robustness in audio/vision/speech models
The Casual Conversations v2 Dataset A diverse, large benchma...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Porgali, Bilal Albiero, Vitor Ryda, Jordan Ferrer, Cristian Canton Hazirbas, Caner Meta AI Menlo Pk CA 94025 USA
This paper introduces a new large consent-driven dataset aimed at assisting in the evaluation of algorithmic bias and robustness of computer vision and audio speech models in regards to 11 attributes that are self-pro... 详细信息
来源: 评论
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction
S2F2: Single-Stage Flow Forecasting for Future Multiple Traj...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Yu-Wen Yang, Hsuan-Kung Chiu, Chu-Chi Lee, Chun-Yi Natl Tsing Hua Univ Dept Comp Sci Elsa Lab Hsinchu Taiwan
In this work, we present a single-stage framework, named S2F2, for forecasting multiple human trajectories from raw video images by predicting future optical flows. S2F2 differs from the previous two-stage approaches ... 详细信息
来源: 评论
How to Calibrate Your Event Camera
How to Calibrate Your Event Camera
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Muglikar, Manasi Gehrig, Mathias Gehrig, Daniel Scaramuzza, Davide Univ Zurich Dept Informat Zurich Switzerland Univ Zurich Dept Neuroinformat Zurich Switzerland Swiss Fed Inst Technol Zurich Switzerland
We propose a generic event camera calibration framework using image reconstruction. Instead of relying on blinking LED patterns or external screens, we show that neural-network-based image reconstruction is well suite... 详细信息
来源: 评论
Multi-view Multi-label Canonical Correlation Analysis for Cross-modal Matching and Retrieval
Multi-view Multi-label Canonical Correlation Analysis for Cr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sanghavi, Rushil Verma, Yashaswi IIT Jodhpur Jodhpur Rajasthan India
In this paper, we address the problem of cross-modal retrieval in presence of multi-view and multi-label data. For this, we present Multi-view Multi-label Canonical Correlation Analysis (or MVMLCCA), which is a genera... 详细信息
来源: 评论