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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition"
53104 条 记 录,以下是171-180 订阅
GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation
GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Khanna, Mukul Ramrakhya, Ram Chhablani, Gunjan Yenamandra, Sriram Gervet, Theophile Chang, Matthew Kiraly, Zsolt Chaplot, Devendra Singh Batra, Dhruv Mottaghi, Roozbeh Georgia Inst Technol Atlanta GA 30332 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Illinois Urbana IL USA Mistral AI Paris France Univ Washington Seattle WA USA
The Embodied AI community has made significant strides in visual navigation tasks, exploring targets from 3D coordinates, objects, language descriptions, and images. However, these navigation models often handle only ... 详细信息
来源: 评论
VLM-PL: Advanced Pseudo Labeling approach for Class Incremental Object Detection via vision-Language Model
VLM-PL: Advanced Pseudo Labeling approach for Class Incremen...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Junsu Ku, Yunhoe Kim, Jihyeon Cha, Junuk Baek, Seungryul UNIST Ulsan South Korea MODULABS Seoul South Korea
In the field of Class Incremental Object Detection (CIOD), creating models that can continuously learn like humans is a major challenge. Pseudo-labeling methods, although initially powerful, struggle with multi-scenar... 详细信息
来源: 评论
VMRNN: Integrating vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting
VMRNN: Integrating Vision Mamba and LSTM for Efficient and A...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tang, Yujin Dong, Peijie Tang, Zhenheng Chu, Xiaowen Liang, Junwei Hong Kong Univ Sci & Technol Guangzhou AI Thrust Guangzhou Peoples R China Hong Kong Univ Sci & Technol Guangzhou DSA Thrust Guangzhou Peoples R China Hong Kong Baptist Univ Dept Comp Sci Hong Kong Peoples R China Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Peoples R China
Combining Convolutional Neural Networks (CNNs) or vision Transformers(ViTs) with Recurrent Neural Networks (RNNs) for spatiotemporal forecasting has yielded unparalleled results in predicting temporal and spatial dyna... 详细信息
来源: 评论
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
Summarize the Past to Predict the Future: Natural Language D...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Pasca, Razvan-George Gavryushin, Alexey Hamza, Muhammad Kuo, Yen-Ling Mo, Kaichun Van Gool, Luc Hilliges, Otmar Wang, Xi Swiss Fed Inst Technol Zurich Switzerland Univ Zurich Zurich Switzerland Univ Virginia Charlottesville VA USA NVIDIA Santa Clara CA USA Katholieke Univ Leuven Leuven Belgium INSAIT Sofia Bulgaria
We study object interaction anticipation in egocentric videos. This task requires an understanding of the spatio-temporal context formed by past actions on objects, coined action context. We propose TransFusion, a mul... 详细信息
来源: 评论
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
CUE-Net: Violence Detection Video Analytics with Spatial Cro...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Senadeera, Damith Chamalke Yang, Xiaoyun Kollias, Dimitrios Slabaugh, Gregory Queen Mary Univ London Sch Elect Engn & Comp Sci London England Queen Marys Digital Environm Res Inst DERI London England Remark AI UK Ltd London England
In this paper we introduce CUE-Net, a novel architecture designed for automated violence detection in video surveillance. As surveillance systems become more prevalent due to technological advances and decreasing cost... 详细信息
来源: 评论
How Much You Ate? Food Portion Estimation on Spoons
How Much You Ate? Food Portion Estimation on Spoons
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sharma, Aaryam Czarnecki, Chris Chen, Yuhao Xi, Pengcheng Xu, Linlin Wong, Alexander Univ Waterloo Vis & Image Proc Lab Waterloo ON Canada Natl Res Council Canada Ottawa ON Canada
Monitoring dietary intake is a crucial aspect of promoting healthy living. In recent years, advances in computer vision technology have facilitated dietary intake monitoring through the use of images and depth cameras... 详细信息
来源: 评论
GreedyViG: Dynamic Axial Graph Construction for Efficient vision GNNs
GreedyViG: Dynamic Axial Graph Construction for Efficient Vi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Munir, Mustafa Avery, William Rahman, Md Mostafijur Marculescu, Radu Univ Texas Austin Austin TX 78712 USA
vision graph neural networks (ViG) offer a new avenue for exploration in computer vision. A major bottleneck in ViGs is the inefficient k-nearest neighbor (KNN) operation used for graph construction. To solve this iss... 详细信息
来源: 评论
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box vision-Language Models for Selective Visual Question Answering
Consistency and Uncertainty: Identifying Unreliable Response...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Khan, Zaid Fu, Yun Northeastern Univ Boston MA 02115 USA
The goal of selective prediction is to allow an a model to abstain when it may not be able to deliver a reliable prediction, which is important in safety-critical contexts. Existing approaches to selective prediction ... 详细信息
来源: 评论
QAttn: Efficient GPU Kernels for mixed-precision vision Transformers
QAttn: Efficient GPU Kernels for mixed-precision Vision Tran...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kluska, Piotr Castello, Adrian Scheidegger, Florian Malossi, A. Cristiano I. Quintana-Orti, Enrique S. IBM Res Europe Ruschlikon Switzerland Univ Politecn Valencia Valencia Spain
vision Transformers have demonstrated outstanding performance in computer vision tasks. Nevertheless, this superior performance for large models comes at the expense of increasing memory usage for storing the paramete... 详细信息
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Building vision-Language Models on Solid Foundations with Masked Distillation
Building Vision-Language Models on Solid Foundations with Ma...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sameni, Sepehr Kafle, Kushal Tan, Hao Jenni, Simon Univ Bern Bern Switzerland Adobe Res San Jose CA USA
Recent advancements in vision-Language Models (VLMs) have marked a significant leap in bridging the gap between computer vision and natural language processing. However, traditional VLMs, trained through contrastive l... 详细信息
来源: 评论