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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是261-270 订阅
排序:
An Effective Temporal Localization Method with Multi-View 3D Action recognition for Untrimmed Naturalistic Driving Videos
An Effective Temporal Localization Method with Multi-View 3D...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Manh Tung Tran Minh Quan Vu Ngoc Duong Hoang Khac-Hoai Nam Bui Viettel Grp Viettel Cyperspace Ctr Hanoi Vietnam
Naturalistic driving studies with computer vision techniques have become an emergent research issue. The objective is to classify the distracted behavior actions by drivers. Specifically, this issue is regarded as tem... 详细信息
来源: 评论
Generalizable Multi-Camera 3D Pedestrian Detection
Generalizable Multi-Camera 3D Pedestrian Detection
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lima, Joao Paulo Roberto, Rafael Figueiredo, Lucas Simoes, Francisco Teichrieb, Veronica Univ Fed Pernambuco Ctr Informat Voxar Labs Recife PE Brazil Univ Fed Rural Pernambuco Dept Comp Recife PE Brazil
We present a multi-camera 3D pedestrian detection method that does not need to train using data from the target scene. We estimate pedestrian location on the ground plane using a novel heuristic based on human body po... 详细信息
来源: 评论
Unpaired Faces to Cartoons: Improving XGAN
Unpaired Faces to Cartoons: Improving XGAN
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ramos, Stev H. Cabrera, Joel Ibanez, Daniel Jimenez-Panta, Alejandro B. Beltran-Castanon, Cesar Villanueva, Edwin Pontifical Catholic Univ Peru Lima Peru
Domain Adaptation is a task that aims to translate an image from a source domain to a desired target domain. Current methods in domain adaptation use adversarial training based on Generative Adversarial Networks (GAN)... 详细信息
来源: 评论
DeepObjStyle: Deep Object-based Photo Style Transfer
DeepObjStyle: Deep Object-based Photo Style Transfer
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mastan, Indra Deep Raman, Shanmuganathan Indian Inst Technol Gandhinagar Gandhinagar Gujarat India
One of the major challenges of style transfer is the appropriate image features supervision between the output image and the input images (style and content). An efficient strategy would be to define an object map bet... 详细信息
来源: 评论
Encapsulating the impact of transfer learning, domain knowledge and training strategies in deep-learning based architecture: A biometric based case study  31
Encapsulating the impact of transfer learning, domain knowle...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Singh, Avantika Nigam, Aditya Indian Inst Technol Mandi Mandi India
In this paper, efforts have been made to analyze the impact of training strategies, transfer learning and domain knowledge on two biometric-based problems namely: three class oculus classification and fingerprint sens... 详细信息
来源: 评论
TAEN: Temporal Aware Embedding Network for Few-Shot Action recognition
TAEN: Temporal Aware Embedding Network for Few-Shot Action R...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ben-Ari, Rami Nacson, Mor Shpigel Azulai, Ophir Barzelay, Udi Rotman, Daniel OriginAI Haifa Israel Technion Haifa Israel IBM Res AI Haifa Israel
Classification of new class entities requires collecting and annotating hundreds or thousands of samples that is often prohibitively costly. Few-shot learning suggests learning to classify new classes using just a few... 详细信息
来源: 评论
CoRe: Color Regression for Multicolor Fashion Garments
CoRe: Color Regression for Multicolor Fashion Garments
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Rame, Alexandre Douillard, Arthur Ollion, Charles Sorbonne Univ Paris France Heuritech Paris France
Developing deep networks that analyze fashion garments has many real-world applications. Among all fashion attributes, color is one of the most important yet challenging to detect. Existing approaches are classificati... 详细信息
来源: 评论
Disentangled Loss for Low-Bit Quantization-Aware Training
Disentangled Loss for Low-Bit Quantization-Aware Training
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Allenet, Thibault Briand, David Bichler, Olivier Sentieys, Olivier CEA LIST Saclay France Univ Rennes INRIA Rennes France
Quantization-Aware Training (QAT) has recently showed a lot of potential for low-bit settings in the context of image classification. Approaches based on QAT are using the Cross Entropy Loss function which is the refe... 详细信息
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Attenuating Catastrophic Forgetting by Joint Contrastive and Incremental Learning
Attenuating Catastrophic Forgetting by Joint Contrastive and...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ferdinand, Quentin Clement, Benoit Oliveau, Quentin Le Chenadec, Gilles Papadakis, Panagiotis Naval Grp Res Cherbourg En Cotentin France ENSTA Bretagne Lab STICC UMR 6285 Brest France IMT Atlantique Lab STICC UMR 6285 Brest France
In class incremental learning, discriminative models are trained to classify images while adapting to new instances and classes incrementally. Training a model to adapt to new classes without total access to previous ... 详细信息
来源: 评论
Model Level Ensemble for Facial Action Unit recognition at the 3rd ABAW Challenge
Model Level Ensemble for Facial Action Unit Recognition at t...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Wenqiang Wu, Yannan Qiao, Fengsheng Meng, Liyu Deng, Yuanyuan Liu, Chuanhe Beijing Seek Truth Data Technol Co Ltd Beijing Peoples R China
In this paper, we present our latest work on Action Unit Detection, which is a part of the Affective Behavior Analysis in-the-wild (ABAW) 2022 Competition [15]. Our proposed network is based on the IResnet100 [6]. Fir... 详细信息
来源: 评论