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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151-160 订阅
排序:
KeyPoint Relative Position Encoding for Face recognition
KeyPoint Relative Position Encoding for Face Recognition
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kim, Minchul Su, Yiyang Liu, Feng Jain, Anil Liu, Xiaoming Michigan State Univ E Lansing MI 48824 USA
In this paper, we address the challenge of making ViT models more robust to unseen affine transformations. Such robustness becomes useful in various recognition tasks such as face recognition when image alignment fail... 详细信息
来源: 评论
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
Flow-Guided Online Stereo Rectification for Wide Baseline St...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kumar, Anush Mannan, Fahim Jafari, Omid Hosseini Li, Shile Heider, Felix Torc Robot Blacksburg VA 24060 USA Princeton Univ Princeton NJ 08544 USA
Stereo rectification is widely considered "solved" due to the abundance of traditional approaches to perform rectification. However, autonomous vehicles and robots in-the-wild require constant re-calibration... 详细信息
来源: 评论
SkipPLUS: Skip the First Few Layers to Better Explain vision Transformers
SkipPLUS: Skip the First Few Layers to Better Explain Vision...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Mehri, Faridoun Fayyaz, Mohsen Baghshah, Mahdieh Soleymani Pilehvar, Mohammad Taher Sharif Univ Technol Tehran Iran Univ Tehran Tehran Iran Cardiff Univ Cardiff Wales
Despite their remarkable performance, the explainability of vision Transformers (ViTs) remains a challenge. While forward attention-based token attribution techniques have become popular in text processing, their suit... 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
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity recognition in Traffic Scenes
Action-slot: Visual Action-centric Representations for Multi...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kung, Chi-Hsi Lu, Shu-Wei Tsai, Yi-Hsuan Chen, Yi-Ting Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan Google Mountain View CA USA
In this paper, we study multi-label atomic activity recognition. Despite the notable progress in action recognition, it is still challenging to recognize atomic activities due to a deficiency in holistic understanding... 详细信息
来源: 评论
Instance-based Max-margin for Practical Few-shot recognition
Instance-based Max-margin for Practical Few-shot Recognition
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Fu, Minghao Zhu, Ke Nanjing Univ Natl Key Lab Novel Software Technol Nanjing Peoples R China Nanjing Univ Sch Artificial Intelligence Nanjing Peoples R China
In order to mimic the human few-shot learning (FSL) ability better and to make FSL closer to real-world applications, this paper proposes a practical FSL (pFSL) setting. pFSL is based on unsupervised pre-trained model... 详细信息
来源: 评论
BoQ: A Place is Worth a Bag of Learnable Queries
BoQ: A Place is Worth a Bag of Learnable Queries
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ali-Bey, Amar Chaib-Draa, Brahim Giguere, Philippe Univ Laval Dept Comp Sci & Software Engn Quebec City PQ Canada
In visual place recognition, accurately identifying and matching images of locations under varying environmental conditions and viewpoints remains a significant challenge. In this paper, we introduce a new technique, ... 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
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neu...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ma, Ruichen Qiao, Guanchao Liu, Yian Meng, Liwei Ning, Ning Liu, Yang Hu, Shaogang Univ Elect Sci & Technol China Chengdu Peoples R China
Binary neural networks utilize 1-bit quantized weights and activations to reduce both the model's storage demands and computational burden. However, advanced binary architectures still incorporate millions of inef... 详细信息
来源: 评论
Video recognition in Portrait Mode
Video Recognition in Portrait Mode
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Han, Mingfei Yang, Linjie Jin, Xiaojie Feng, Jiashi Chang, Xiaojun Wang, Heng Bytedance Beijing Peoples R China UTS ReLER Lab AAII Sydney NSW Australia CSIRO Data61 Canberra ACT Australia MBZUAI Abu Dhabi U Arab Emirates
The creation of new datasets often presents new challenges for video recognition and can inspire novel ideas while addressing these challenges. While existing datasets mainly comprise landscape mode videos, our paper ... 详细信息
来源: 评论