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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281-290 订阅
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Unsupervised Salient Object Detection with Spectral Cluster Voting
Unsupervised Salient Object Detection with Spectral Cluster ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shin, Gyungin Albanie, Samuel Xie, Weidi Univ Oxford Visual Geometry Grp Oxford England Univ Cambridge Dept Engn Cambridge England Shanghai Jiao Tong Univ Shanghai Peoples R China
In this paper, we tackle the challenging task of unsupervised salient object detection (SOD) by leveraging spectral clustering on self-supervised features. We make the following contributions: (i) We revisit spectral ... 详细信息
来源: 评论
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
Renofeation: A Simple Transfer Learning Method for Improved ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chin, Ting-Wu Zhang, Cha Marculescu, Diana Carnegie Mellon Univ Pittsburgh PA 15213 USA Microsoft Cloud & AI Redmond WA USA Univ Texas Austin Austin TX 78712 USA
Fine-tuning through knowledge transfer from a pre-trained model on a large-scale dataset is a widely spread approach to effectively build models on small-scale datasets. In this work, we show that a recent adversarial... 详细信息
来源: 评论
Reconstructing Spectral Images from RGB-Images using a Convolutional Neural Network  31
Reconstructing Spectral Images from RGB-Images using a Convo...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Stiebel, Tarek Koppers, Simon Seltsam, Philipp Merhof, Dorit Rhein Westfal TH Aachen Inst Imaging & Comp Vis Aachen Germany
Recovering high-dimensional spectral images taken with spectrally low-dimensional camera systems, in the extreme case RGB-images, has been of great interest for a variety of applications. An accurate spectral reconstr... 详细信息
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Video Class Agnostic Segmentation Benchmark for Autonomous Driving
Video Class Agnostic Segmentation Benchmark for Autonomous D...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Siam, Mennatullah Kendall, Alex Jagersand, Martin Univ Alberta Edmonton AB Canada Wayve London England
Semantic segmentation approaches are typically trained on large-scale data with a closed finite set of known classes without considering unknown objects. In certain safety-critical robotics applications, especially au... 详细信息
来源: 评论
ViTOL: vision Transformer for Weakly Supervised Object Localization
ViTOL: Vision Transformer for Weakly Supervised Object Local...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gupta, Saurav Lakhotia, Sourav Rawat, Abhay Tallamraju, Rahul Mercedes Benz Res & Dev India Bengaluru India
Weakly supervised object localization (WSOL) aims at predicting object locations in an image using only image-level category labels. Common challenges that image classification models encounter when localizing objects... 详细信息
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CNN-based morphological decomposition of X-ray images for details and defects contrast enhancement
CNN-based morphological decomposition of X-ray images for de...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Madmad, Tahani Delinte, Nicolas De Vleeschouwer, Christophe UCLouvain ICTEAM Louvain La Neuve Belgium
This paper introduces a new learning based framework for X-ray images that relies on a morphological decomposition of the signal into two main components, separating images into local textures and piecewise smooth (ca... 详细信息
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Localized Triplet Loss for Fine-grained Fashion Image Retrieval
Localized Triplet Loss for Fine-grained Fashion Image Retrie...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: D'Innocente, Antonio Garg, Nikhil Zhang, Yuan Bazzani, Loris Donoser, Michael Sapienza Univ Rome Rome Italy Amazon Munich Germany Amazon Seattle WA USA
Fashion retrieval methods aim at learning a clothing-specific embedding space where images are ranked based on their global visual similarity with a given query. However, global embeddings struggle to capture localize... 详细信息
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New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution  31
New Techniques for Preserving Global Structure and Denoising...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bei, Yijie Damian, Alex Hu, Shijia Menon, Sachit Ravi, Nikhil Rudin, Cynthia Duke Univ Durham NC 27706 USA
This work identifies and addresses two important technical challenges in single-image super-resolution: (1) how to upsample an image without magnifying noise and (2) how to preserve large scale structure when upsampli... 详细信息
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An End-to-End vision Transformer Approach for Image Copy Detection
An End-to-End Vision Transformer Approach for Image Copy Det...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lee, Jiahe Steven Hsu, Wynne Lee, Mong Li Natl Univ Singapore Inst Data Sci Singapore Singapore Natl Univ Singapore Ctr Trusted Internet & Community Singapore Singapore
Image copy detection is one of the pivotal tools to safeguard online information integrity. The challenge lies in determining whether a query image is an edited copy, which necessitates the identification of candidate... 详细信息
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Large-Scale Ecological Analyses of Animals in the Wild using computer vision  31
Large-Scale Ecological Analyses of Animals in the Wild using...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Timm, Mikayla Maji, Subhransu Fuller, Todd Univ Massachusetts Amherst MA 01003 USA
Camera traps are increasingly being deployed by ecologists and citizen-scientists as a cost-effective way of obtaining large amounts of animal images in the wild. In order to analyze this data, the images are labeled ... 详细信息
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