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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23240 条 记 录,以下是111-120 订阅
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Recurrence-Based Vanishing Point Detection
Recurrence-Based Vanishing Point Detection
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ieee Workshop on Applications of computer vision (WACV)
作者: Skanda Bharadwaj Robert T. Collins Yanxi Liu School of EECS The Pennsylvania State University University Park PA
Classical approaches to Vanishing Point Detection (VPD) rely solely on the presence of explicit straight lines in images, while recent supervised deep learning approaches need labeled datasets for training. We propose... 详细信息
来源: 评论
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face recognition
CLFace: A Scalable and Resource-Efficient Continual Learning...
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ieee Workshop on Applications of computer vision (WACV)
作者: Md Mahedi Hasan Shoaib Meraj Sami Nasser Nasrabadi West Virginia University Morgantown West Virginia USA
An important aspect of deploying face recognition (FR) algorithms in real-world applications is their ability to learn new face identities from a continuous data stream. However, the online training of existing deep n... 详细信息
来源: 评论
MADation: Face Morphing Attack Detection with Foundation Models
MADation: Face Morphing Attack Detection with Foundation Mod...
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ieee Winter Applications and computer vision Workshops (WACVW)
作者: Eduarda Caldeira Guray Ozgur Tahar Chettaoui Marija Ivanovska Peter Peer Fadi Boutros Vitomir Struc Naser Damer Fraunhofer IGD Germany University of Ljubljana Slovenia TU Darmstadt Germany
Despite the considerable performance improvements of face recognition algorithms in recent years, the same scientific advances responsible for this progress can also be used to create efficient ways to attack them, po... 详细信息
来源: 评论
Learning to Count from Pseudo-Labeled Segmentation
Learning to Count from Pseudo-Labeled Segmentation
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ieee Workshop on Applications of computer vision (WACV)
作者: Jingyi Xu Hieu Le Dimitris Samaras Stony Brook University EPFL
Class-agnostic counting (CAC) has numerous potential applications across various domains. The goal is to count objects of an arbitrary category during testing, based on only a few annotated exemplars. However, existin... 详细信息
来源: 评论
Enhancing vision-Language Few-Shot Adaptation with Negative Learning
Enhancing Vision-Language Few-Shot Adaptation with Negative ...
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ieee Workshop on Applications of computer vision (WACV)
作者: Ce Zhang Simon Stepputtis Katia Sycara Yaqi Xie School of Computer Science Carnegie Mellon University
Large-scale pre-trained vision-Language Models (VLMs) have exhibited impressive zero-shot performance and transferability, allowing them to adapt to downstream tasks in a data-efficient manner. However, when only a fe... 详细信息
来源: 评论
Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations
Towards Unbiased Continual Learning: Avoiding Forgetting in ...
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ieee Workshop on Applications of computer vision (WACV)
作者: Giacomo Capitani Lorenzo Bonicelli Angelo Porrello Federico Bolelli Simone Calderara Elisa Ficarra Università degli Studi di Modena e Reggio Emilia Italy
Continual Learning (CL) has emerged as a paramount area in Artificial Intelligence (AI) because of its ability to learn multiple tasks sequentially without significant performance degradation. Despite the growing inte... 详细信息
来源: 评论
Evaluating Multimodal vision-Language Model Prompting Strategies for Visual Question Answering in Road Scene Understanding
Evaluating Multimodal Vision-Language Model Prompting Strate...
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ieee Winter Applications and computer vision Workshops (WACVW)
作者: Aryan Keskar Srinivasa Perisetla Ross Greer University of California Merced
Understanding complex traffic scenes is a crucial challenge in advancing autonomous driving systems. Visual Question Answering (VQA) tasks have emerged as a promising approach to extracting actionable insights from mu... 详细信息
来源: 评论
Mixed Patch Visible-Infrared Modality Agnostic Object Detection
Mixed Patch Visible-Infrared Modality Agnostic Object Detect...
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ieee Workshop on Applications of computer vision (WACV)
作者: Heitor R. Medeiros David Latortue Eric Granger Marco Pedersoli Dept. of Systems Engineering Laboratoire d'imagerie de vision et d'intelligence artificielle (LIVIA) International Laboratory on Learning Systems (ILLS) ETS Montreal Canada
In real-world scenarios, using multiple modalities like visible (RGB) and infrared (IR) can greatly improve the performance of a predictive task such as object detection (OD). Multimodal learning is a common way to le... 详细信息
来源: 评论
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection
Exploiting Inter-Sample Information for Long-Tailed Out-of-D...
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ieee Workshop on Applications of computer vision (WACV)
作者: Nimeshika Udayangani Hadi M. Dolatabadi Sarah Erfani Christopher Leckie The University of Melbourne
Detecting out-of-distribution (OOD) data is essential for safe deployment of deep neural networks (DNNs). This problem becomes particularly challenging in the presence of long-tailed in-distribution (ID) datasets, oft... 详细信息
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Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning
Learning to Identify Seen, Unseen and Unknown in the Open Wo...
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ieee Workshop on Applications of computer vision (WACV)
作者: Sethupathy Parameswaran Yuan Fang Chandan Gautam Savitha Ramasamy Xiaoli Li Singapore Management University Institute for Infocomm Research A*STAR Centre for Frontier AI Research A*STAR
As vision-language models advance, addressing the Zero-Shot Learning (ZSL) problem in the open world becomes increasingly crucial. Specifically, a robust model must handle three types of samples during inference: seen... 详细信息
来源: 评论