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检索条件"任意字段=2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
21008 条 记 录,以下是291-300 订阅
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Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
Masked Autoencoders for Microscopy are Scalable Learners of ...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Krauss, Oren Kenyon-Dean, Kian Saberian, Saber Fallah, Maryam McLean, Peter Leung, Jess Sharma, Vasudev Khan, Ayla Balakrishnan, Jia Celik, Safiye Beaini, Dominique Sypetkowski, Maciej Cheng, Chi Vicky Morsel, Kristen Makes, Maureen Mabey, Ben Earnshaw, Berton Recurs Salt Lake City UT 84101 USA Valence Labs Rajpura India
Featurizing microscopy images for use in biological research remains a significant challenge, especially for large-scale experiments spanning millions of images. This work explores the scaling properties of weakly sup... 详细信息
来源: 评论
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect vision-Language Pre-training Framework
Decomposing Disease Descriptions for Enhanced Pathology Dete...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Vu Minh Hieu Phan Xie, Yutong Qi, Yuankai Liu, Linggiao Liu, Liyang Zhang, Bowen Liao, Zhibin Wu, Qi To, Minh-Son Verjans, Johan W. Univ Adelaide Australian Inst Machine Learning Adelaide SA Australia Macquarie Univ Sydney NSW Australia Flinders Univ S Australia Adelaide SA Australia
Medical vision language pre-training (VLP) has emerged as a frontier of research, enabling zero-shot pathological recognition by comparing the query image with the textual descriptions for each disease. Due to the com... 详细信息
来源: 评论
Improving Image Restoration through Removing Degradations in Textual Representations
Improving Image Restoration through Removing Degradations in...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Lin, Jingbo Zhang, Zhilu Wei, Yuxiang Ren, Dongwei Jiang, Dongsheng Tian, Qi Zuo, Wangmeng Harbin Inst Technol Harbin Peoples R China Huawei Cloud Comp Co Ltd Shenzhen Peoples R China
In this paper, we introduce a new perspective for improving image restoration by removing degradation in the textual representations of a given degraded image. Intuitively, restoration is much easier on text modality ... 详细信息
来源: 评论
Evaluating the Integration of Morph Attack Detection in Automated Face recognition Systems
Evaluating the Integration of Morph Attack Detection in Auto...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Panzino, Andrea la Cava, Simone Maurizio Orru, Giulia Marcialis, Gian Luca Univ Cagliari Piazza Armi I-09123 Cagliari Italy
Due to the possibility of automatically verifying an individual's identity by comparing his/her face with that present in a personal identification document, systems providing identification must be equipped with ... 详细信息
来源: 评论
Investigating Compositional Challenges in vision-Language Models for Visual Grounding
Investigating Compositional Challenges in Vision-Language Mo...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zeng, Yunan Huang, Yan Zhang, Jinjin Jie, Zequn Chai, Zhenhua Wang, Liang Ctr Res Intelligent Percept & Comp CRIPAC Beijing Peoples R China Chinese Acad Sci CASIA Inst Automat Beijing Peoples R China Meituan Beijing Peoples R China
Pre-trained vision-language models (VLMs) have achieved high performance on various downstream tasks, which have been widely used for visual grounding tasks in a weakly supervised manner. However, despite the performa...
来源: 评论
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
EfficientSAM: Leveraged Masked Image Pretraining for Efficie...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xiong, Yunyang Varadarajan, Bala Wu, Lemeng Xiang, Xiaoyu Xiao, Fanyi Zhu, Chenchen Dai, Xiaoliang Wang, Dilin Sun, Fei Iandola, Forrest Krishnamoorthi, Raghuraman Chandra, Vikas Meta AI Res Menlo Pk CA 94025 USA
Segment Anything Model (SAM) has emerged as a powerful tool for numerous vision applications. A key component that drives the impressive performance for zero-shot transfer and high versatility is a super large Transfo... 详细信息
来源: 评论
Scene Adaptive Sparse Transformer for Event-based Object Detection
Scene Adaptive Sparse Transformer for Event-based Object Det...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Peng, Yansong Li, Hebei Zhang, Yueyi Sun, Xiaoyan Wu, Feng Univ Sci & Technol China Hefei Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei Peoples R China
While recent Transformer-based approaches have shown impressive performances on event-based object detection tasks, their high computational costs still diminish the low power consumption advantage of event cameras. I... 详细信息
来源: 评论
Robust Emotion recognition in Context Debiasing
Robust Emotion Recognition in Context Debiasing
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yang, Dingkang Yang, Kun Li, Mingcheng Wang, Shunli Wang, Shuaibing Zhang, Lihua Fudan Univ Acad Engn & Technol Shanghai Peoples R China Cognit & Intelligent Technol Lab CIT Lab Beijing Peoples R China Jilin Prov Key Lab Intelligence Sci & Engn Changchun Peoples R China Minist Educ Engn Res Ctr AI & Robot Shanghai Peoples R China
Context-aware emotion recognition (CAER) has recently boosted the practical applications of affective computing techniques in unconstrained environments. Mainstream CAER methods invariably extract ensemble representat... 详细信息
来源: 评论
Pre-trained vision and Language Transformers Are Few-Shot Incremental Learners
Pre-trained Vision and Language Transformers Are Few-Shot In...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Park, Keon-Hee Song, Kyungwoo Park, Gyeong-Moon Kyung Hee Univ Seoul South Korea Yonsei Univ Seoul South Korea
Few-Shot Class Incremental Learning (FSCIL) is a task that requires a model to learn new classes incrementally without forgetting when only a few samples for each class are given. FSCIL encounters two significant chal... 详细信息
来源: 评论
OVER-NAV: Elevating Iterative vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation
OVER-NAV: Elevating Iterative Vision-and-Language Navigation...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhao, Ganlong Li, Guanbin Chen, Weikai Yu, Yizhou Univ Hong Kong Hong Kong Peoples R China Sun Yat Sen Univ Guangzhou Guangdong Peoples R China GuangDong Prov Key Lab Informat Secur Technol Guangzhou Guangdong Peoples R China Tencent Games Digital Content Technol Ctr Shenzhen Guangdong Peoples R China
Recent advances in Iterative vision-and-Language Navigation (IVLN) introduce a more meaningful and practical paradigm of VLN by maintaining the agent's memory across tours of scenes. Although the long-term memory ... 详细信息
来源: 评论