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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23219 条 记 录,以下是281-290 订阅
A Closer Look at the Few-Shot Adaptation of Large vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Lan...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Iguez, Julio Silva-Rodr Hajimiri, Sina Ben Ayed, Ismail Dolz, Jose ETS Montreal Montreal PQ Canada
Efficient transfer learning (ETL) is receiving increasing attention to adapt large pre-trained language-vision models on downstream tasks with a few labeled samples. While significant progress has been made, we reveal...
来源: 评论
YOLO-World: Real-Time Open-Vocabulary Object Detection
YOLO-World: Real-Time Open-Vocabulary Object Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cheng, Tianheng Sone, Lin Ge, Yixiao Liu, Wenyu Wang, Xinggang Shan, Yong Tencent AI Lab Shenzhen Guangdong Peoples R China Tencent PCG ARC Lab Shenzhen Guangdong Peoples R China Huazhong Univ Sci & Technol Sch EIC Wuhan Hubei Peoples R China
The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories limits their applicability in open sc... 详细信息
来源: 评论
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
Unlocking Pre-trained Image Backbones for Semantic Image Syn...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Berrada, Tariq Verbeek, Jakob Couprie, Camille Alahari, Karteek Meta FAIR Menlo Pk CA 94025 USA Univ Grenoble Alpes LJK Grenoble INP InriaCNRS Grenoble France
Semantic image synthesis, i.e., generating images from user-provided semantic label maps, is an important conditional image generation task as it allows to control both the content as well as the spatial layout of gen... 详细信息
来源: 评论
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
Task-aligned Part-aware Panoptic Segmentation through Joint ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: de Geus, Daan Dubbelman, Gijs Eindhoven Univ Technol Eindhoven Netherlands
Part-aware panoptic segmentation (PPS) requires (a) that each foreground object and background region in an image is segmented and classified, and (b) that all parts within foreground objects are segmented, classified... 详细信息
来源: 评论
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
SleepVST: Sleep Staging from Near-Infrared Video Signals usi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Carter, Jonathan F. Jorge, Joao Gibson, Oliver Tarassenkol, Lionel Univ Oxford Inst Biomed Engn Oxford England Oxehealth Ltd Oxford England
Advances in camera-based physiological monitoring have enabled the robust, non-contact measurement of respiration and the cardiac pulse, which are known to be indicative of the sleep stage. This has led to research in... 详细信息
来源: 评论
Fooling Polarization-based vision using Locally Controllable Polarizing Projection
Fooling Polarization-based Vision using Locally Controllable...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Zhuoxiao Zhong, Zhihang Nobuhara, Shohei Nishino, Ko Zheng, Yinqiang Univ Tokyo Tokyo Japan Shanghai Artificial Intelligence Lab Shanghai Peoples R China Kyoto Univ Kyoto Japan
Polarization is a fundamental property of light that encodes abundant information regarding surface shape, material, illumination and viewing geometry. The computer vision community has witnessed a blossom of polariza...
来源: 评论
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with vision-Language Models
From Pixels to Graphs: Open-Vocabulary Scene Graph Generatio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Rongjie Zhang, Songyang Lin, Dahua Chen, Kai He, Xuming ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Shanghai AI Lab Shanghai Peoples R China Shanghai Engn Res Ctr Intelligent Vis & Imaging Shanghai Peoples R China
Scene graph generation (SGG) aims to parse a visual scene into an intermediate graph representation for down-stream reasoning tasks. Despite recent advancements, existing methods struggle to generate scene graphs with... 详细信息
来源: 评论
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segm...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yi Guo, Meng-Hao Wang, Miao Hu, Shi-Min Beihang Univ State Key Lab Virtual Real Technol & Syst SCSE Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol BNRist Beijing Peoples R China Tsinghua Univ Beijing Peoples R China
CLIP has demonstrated marked progress in visual recognition due to its powerful pre-training on large-scale image-text pairs. However, it still remains a critical challenge: how to transfer image-level knowledge into ... 详细信息
来源: 评论
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action recognition
Part-aware Unified Representation of Language and Skeleton f...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhu, Anqi Ke, Qiuhong Gong, Mingming Bailey, James Univ Melbourne Melbourne Vic Australia Monash Univ Parkville Vic 3052 Australia Wellington Rd Clayton Vic 3800 Australia
While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored. In this paper, we argue that relying solely on aligning la... 详细信息
来源: 评论
Unlocking the Potential of Pre-trained vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
Unlocking the Potential of Pre-trained Vision Transformers f...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Ziqin Xu, Hai-Ming Shu, Yangyang Liu, Lingqiao Univ Adelaide Adelaide SA Australia
The recent advent of pre-trained vision transformers has unveiled a promising property: their inherent capability to group semantically related visual concepts. In this paper, we explore to harnesses this emergent fea... 详细信息
来源: 评论