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检索条件"任意字段=2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003"
6678 条 记 录,以下是141-150 订阅
排序:
Uncovering the Hidden Cost of Model Compression
Uncovering the Hidden Cost of Model Compression
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Misra, Diganta Chaudhary, Muawiz Goyal, Agam Runwal, Bharat Chen, Pin Yu Carnegie Mellon Univ Pittsburgh PA 15213 USA Landskape AI Leiden Netherlands Mila Quebec AI Inst Montreal PQ Canada Concordia Univ Montreal PQ Canada Univ Wisconsin Madison Madison WI USA IBM Res Yorktown Hts NY USA
In an age dominated by resource-intensive foundation models, the ability to efficiently adapt to downstream tasks is crucial. Visual Prompting (VP), drawing inspiration from the prompting techniques employed in Large ... 详细信息
来源: 评论
LOFI: LOng-tailed FIne-Grained Network for Food recognition
LOFI: LOng-tailed FIne-Grained Network for Food Recognition
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Rodriguez-de-Vera, Jesus M. Estepa, Imanol G. Bolanos, Marc Nagarajan, Bhalaji Radeva, Petia Univ Barcelona Barcelona Spain AIGecko Technol SL Barcelona Spain
Food recognition plays a crucial role in several healthcare applications. Nevertheless, it presents significant computer vision challenges such as long-tailed and fine-grained distributions that hinder its progress. I... 详细信息
来源: 评论
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
COOD: Combined out-of-distribution detection using multiple ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hogeweg, Laurens E. Gangireddy, Rajesh Brunink, Django Kalkman, Vincent J. Cornelissen, Ludo Kamminga, Jacob W. Intel Eindhoven Netherlands Nat Biodivers Ctr Leiden Netherlands Univ Twente Enschede Netherlands
High-performing out-of-distribution (OOD) detection, both anomaly and novel class, is an important prerequisite for the practical use of classification models. In this paper we focus on the species recognition task in... 详细信息
来源: 评论
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
HarvestNet: A Dataset for Detecting Smallholder Farming Acti...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xu, Jonathan Elmustafa, Amna Weldegebriel, Liya Negash, Emnet Lee, Richard Meng, Chenlin Ermon, Stefano Lobell, David Stanford Univ Stanford CA 94305 USA Univ Waterloo Waterloo ON Canada Univ Ghent Ghent Belgium Mekelle Univ Mekele Ethiopia
Small farms contribute to a large share of the productive land in developing countries. In regions such as subSaharan Africa, where 80% of farms are small (under 2 ha in size), the task of mapping smallholder cropland... 详细信息
来源: 评论
Internal Diverse Image Completion
Internal Diverse Image Completion
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Alkobi, Noa Shaham, Tamar Rott Michaeli, Tomer Technion Haifa Israel MIT Technion Haifa Israel
Image completion is widely used in photo restoration and editing applications, e.g. for object removal. Recently, there has been a surge of research on generating diverse completions for missing regions. However, exis... 详细信息
来源: 评论
IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery
IrrNet: Advancing Irrigation Mapping with Incremental Patch ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hoque, Oishee Bintey Swarup, Samarth Adiga, Abhijin Nouwakpo, Sayjro Kossi Marathe, Madhav Univ Virginia Dept Comp Sci Charlottesville VA 22903 USA Univ Virginia Biocomplex Inst Charlottesville VA 22903 USA ARS USDA Kimberly ID USA
Irrigation mapping plays a crucial role in effective water management, essential for preserving both water quality and quantity, and is key to mitigating the global issue of water scarcity. The complexity of agricultu... 详细信息
来源: 评论
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
SegFormer3D: an Efficient Transformer for 3D Medical Image S...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Perera, Shehan Navard, Pouyan Yilmaz, Alper Ohio State Univ Photogrammetr Comp Vis Lab Columbus OH 43210 USA
The adoption of vision Transformers (ViTs) based architectures represents a significant advancement in 3D Medical Image (MI) segmentation, surpassing traditional Convolutional Neural Network (CNN) models by enhancing ... 详细信息
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Co-designing a Sub-millisecond Latency Event-based Eye Tracking System with Submanifold Sparse CNN
Co-designing a Sub-millisecond Latency Event-based Eye Track...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Baoheng Gao, Yizhao Li, Jingyuan So, Hayden Kwok-Hay Univ Hong Kong Hong Kong Peoples R China
Eye-tracking technology is integral to numerous consumer electronics applications, particularly in the realm of virtual and augmented reality (VR/AR). These applications demand solutions that excel in three crucial as... 详细信息
来源: 评论
Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation
Orientation-conditioned Facial Texture Mapping for Video-bas...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Cantrill, Sam Ahmedt-Aristizabal, David Petersson, Lars Suominen, Hanna Armin, Mohammad Ali Australian Natl Univ Canberra ACT Australia Commonwealth & Sci Ind Res Org Data61 Canberra ACT Australia Univ Turku Turku Finland
Camera-based remote photoplethysmography (rPPG) enables contactless measurement of important physiological signals such as pulse rate (PR). However, dynamic and unconstrained subject motion introduces significant vari... 详细信息
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Multi-Modal Fusion of Event and RGB for Monocular Depth Estimation Using a Unified Transformer-based Architecture
Multi-Modal Fusion of Event and RGB for Monocular Depth Esti...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Devulapally, Anusha Khan, Md Fahim Faysal Advani, Siddharth Narayanan, Vijaykrishnan Penn State Univ University Pk PA 16802 USA Samsung Elect Amer Ridgefield Pk NJ USA
In the field of robotics and autonomous navigation, accurate pixel-level depth estimation has gained significant importance. Event cameras or dynamic vision sensors, capture asynchronous changes in brightness at the p... 详细信息
来源: 评论