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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024"
4655 条 记 录,以下是291-300 订阅
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Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained vision Transformers
Calibrating Higher-Order Statistics for Few-Shot Class-Incre...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Goswami, Dipam Twardowski, Bartlomiej van de Weijer, Joost Univ Autonoma Barcelona Dept Comp Sci Barcelona Spain Comp Vis Ctr Barcelona Spain IDEAS NCBR Warsaw Poland
Few-shot class-incremental learning (FSCIL) aims to adapt the model to new classes from very few data (5 samples) without forgetting the previously learned classes. Recent works in many-shot CIL (MSCIL) (using all ava... 详细信息
来源: 评论
Semantically Grounded Visual Embeddings for Zero-Shot Learning
Semantically Grounded Visual Embeddings for Zero-Shot Learni...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Nawaz, Shah Cavazza, Jacopo Del Bue, Alessio Ist Italiano Tecnol IIT Pattern Anal & Comp Vis PAVIS Genoa Italy Ist Italiano Tecnol IIT Visual Geometry & Modelling VGM Genoa Italy Deutsch Elektronen Synchrotron DESY Hamburg Germany
Zero-shot learning methods rely on fixed visual and semantic embeddings, extracted from independent vision and language models, both pre-trained for other large-scale tasks. This is a weakness of current zero-shot lea... 详细信息
来源: 评论
Cross-Domain Multi-task Learning for Object Detection and Saliency Estimation
Cross-Domain Multi-task Learning for Object Detection and Sa...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Khattar, Apoorv Hegde, Srinidhi Hebbalaguppe, Ramya TCS Res Mumbai Maharashtra India
Multi-task learning (MTL) is a learning paradigm that aims at joint optimization of multiple tasks using a single neural network for better performance and generalization. In practice, MTL rests on the inherent assump... 详细信息
来源: 评论
SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems
SymDNN: Simple & Effective Adversarial Robustness for Embedd...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dey, Swarnava Dasgupta, Pallab Chakrabarti, Partha P. Indian Inst Technol Kharagpur Kharagpur 721302 W Bengal India
We propose SymDNN, a Deep Neural Network (DNN) inference scheme, to segment an input image into small patches, replace those patches with representative symbols, and use the reconstructed image for CNN inference. This... 详细信息
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Multimodal Shape Completion via Implicit Maximum Likelihood Estimation
Multimodal Shape Completion via Implicit Maximum Likelihood ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Arora, Himanshu Mishra, Saurabh Peng, Shichong Li, Ke Mahdavi-Amiri, Ali Simon Fraser Univ Burnaby BC Canada
Shape completion is the problem of completing partial input shapes such as partial scans. This problem finds important applications in computer vision and robotics due to issues such as occlusion or sparsity in real-w... 详细信息
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When Kernel Methods meet Feature Learning: Log-Covariance Network for Action recognition from Skeletal Data  30
When Kernel Methods meet Feature Learning: Log-Covariance Ne...
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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)
作者: Cavazza, Jacopo Morerio, Pietro Murino, Vittorio Ist Italiano Tecnol Pattern Anal & Comp Vis PAVIS Genoa Italy Univ Genoa Electr Elect & Telecommun Engn Naval Architecture Genoa Italy Univ Verona Comp Sci Dept Verona Italy
Human action recognition from skeletal data is a hot research topic and important in many open domain applications of computer vision, thanks to recently introduced 3D sensors. In the literature, naive methods simply ... 详细信息
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Manipulation Detection in Satellite Images Using vision Transformer
Manipulation Detection in Satellite Images Using Vision Tran...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Horvath, Janos Baireddy, Sriram Hao, Hanxiang Montserrat, Daniel Mas Delp, Edward J. Purdue Univ Sch Elect & Comp Engn Video & Image Proc Lab VIPER W Lafayette IN 47907 USA
A growing number of commercial satellite companies provide easily accessible satellite imagery. Overhead imagery is used by numerous industries including agriculture, forestry, natural disaster analysis, and meteorolo... 详细信息
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Occlusion Guided Scene Flow Estimation on 3D Point Clouds
Occlusion Guided Scene Flow Estimation on 3D Point Clouds
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ouyang, Bojun Raviv, Dan Tel Aviv Univ Tel Aviv Israel
3D scene flow estimation is a vital tool in perceiving our environment given depth or range sensors. Unlike optical flow, the data is usually sparse and in most cases partially occluded in between two temporal samplin... 详细信息
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Continual Hippocampus Segmentation with Transformers
Continual Hippocampus Segmentation with Transformers
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ranem, Amin Gonzalez, Camila Mukhopadhyay, Anirban Tech Univ Darmstadt GRIS Karolinenpl 5 D-64289 Darmstadt Germany
In clinical settings, where acquisition conditions and patient populations change over time, continual learning is key for ensuring the safe use of deep neural networks. Yet most existing work focuses on convolutional... 详细信息
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DarkLight Networks for Action recognition in the Dark
DarkLight Networks for Action Recognition in the Dark
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Rui Chen, Jiajun Liang, Zixi Gao, Huaien Lin, Shan Guangzhou Xi Ma Informat Technol Co 101 Waihuan Xi Rd Guangzhou 510006 Guangdong Peoples R China
Human action recognition in the dark is a significant task with various applications, e.g., night surveillance and self-driving at night. However, the lack of video datasets for human actions in the dark hinders its d... 详细信息
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