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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8966 条 记 录,以下是1241-1250 订阅
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
FedProK: Trustworthy Federated Class-Incremental Learning vi...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Xin Gao Xin Yang Hao Yu Yan Kang Tianrui Li Southwestern University of Finance and Economics Webank Southwest Jiaotong University
Federated Class-Incremental Learning (FCIL) focuses on continually transferring the previous knowledge to learn new classes in dynamic Federated Learning (FL). However, existing methods do not consider the trustworthi... 详细信息
来源: 评论
InViG: Benchmarking Open-Ended Interactive Visual Grounding with 500K Dialogues
InViG: Benchmarking Open-Ended Interactive Visual Grounding ...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Hanbo Zhang Jie Xu Yuchen Mo Tao Kong ByteDance Research Beijing China Xi’an Jiaotong University Beijing China
Ambiguity is ubiquitous in human communication. Previous approaches in Human-Robot Interaction (HRI) have often relied on predefined interaction templates, leading to reduced performance in realistic and open-ended sc... 详细信息
来源: 评论
Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images
Depth-Regularized Optimization for 3D Gaussian Splatting in ...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Jaeyoung Chung Jeongtaek Oh Kyoung Mu Lee Department of ECE ASRI IPAI Seoul National University Seoul Korea
This paper presents a method to optimize Gaussian splatting with a limited number of images while avoiding overfitting. Representing a 3D scene by combining numerous Gaussian splats has yielded outstanding visual qual... 详细信息
来源: 评论
Practical Region-level Attack against Segment Anything Models
Practical Region-level Attack against Segment Anything Model...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Yifan Shen Zhengyuan Li Gang Wang University of Illinois Urbana-Champaign
Segment Anything Models (SAM) have made significant advancements in image segmentation, allowing users to segment target portions of an image with a single click (i.e., user prompt). Given its broad applications, the ... 详细信息
来源: 评论
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
Investigating the Effectiveness of Cross-Attention to Unlock...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Saman Motamed Wouter Van Gansbeke Luc Van Gool INSAIT Sofia University Bulgaria ETH Zurich KU Leuven
With recent advances in image and video diffusion models for content creation, a plethora of techniques have been proposed for customizing their generated content. In particular, manipulating the cross-attention layer... 详细信息
来源: 评论
Lightweight Maize Disease Detection through Post-Training Quantization with Similarity Preservation
Lightweight Maize Disease Detection through Post-Training Qu...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Carlos Victorino Padeiro Tse-Wei Chen Takahiro Komamizu Ichiro Ide Nagoya University Nagoya Japan
Traditional crop disease diagnosis, reliant on expert visual observation, is expensive, time-consuming, and prone to error. While Convolutional Neural Networks (CNNs) offer promising alternatives, their high resource ... 详细信息
来源: 评论
Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection
Cross-Modal Fusion and Attention Mechanism for Weakly Superv...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Ayush Ghadiya Purbayan Kar Vishal Chudasama Pankaj Wasnik Media Analysis Group Sony Research India Bangalore India
Recently, weakly supervised video anomaly detection (WS-VAD) has emerged as a contemporary research direction to identify anomaly events like violence and nudity in videos using only video-level labels. However, this ... 详细信息
来源: 评论
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models
Audio-Visual Generalized Zero-Shot Learning using Pre-Traine...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: David Kurzendörfer Otniel-Bogdan Mercea A. Sophia Koepke Zeynep Akata University of Tübingen Localyzer GmbH Tübingen AI Center Helmholtz Munich Technical University of Munich
Audio-visual zero-shot learning methods commonly build on features extracted from pre-trained models, e.g. video or audio classification models. However, existing benchmarks predate the popularization of large multi-m... 详细信息
来源: 评论
GenVideo: One-shot target-image and shape aware video editing using T2I diffusion models
GenVideo: One-shot target-image and shape aware video editin...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Sai Sree Harsha Ambareesh Revanur Dhwanit Agarwal Shradha Agrawal Adobe Inc.
Video editing methods based on diffusion models that rely solely on a text prompt for the edit are hindered by the limited expressive power of text prompts. Thus, incorporating a reference target image as a visual gui... 详细信息
来源: 评论
vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Vision-Language Pseudo-Labels for Single-Positive Multi-Labe...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Xin Xing Zhexiao Xiong Abby Stylianou Srikumar Sastry Liyu Gong Nathan Jacobs University of Nebraska Omaha Washington University in St. Louis Saint Louis University Oracle Inc
We study a limited label problem and present a novel approach to Single-Positive Multi-label Learning. In the multi-label learning setting, a model learns to predict multiple labels or categories for a single input im... 详细信息
来源: 评论