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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023"
11753 条 记 录,以下是151-160 订阅
SketchXAI: A First Look at Explainability for Human Sketches
SketchXAI: A First Look at Explainability for Human Sketches
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Qu, Zhiyu Gryaditskayal, Yulia Li, Ke Pang, Kaiyue Xiang, Tao Song, Yi-Zhe Univ Surrey SketchX CVSSP Guildford Surrey England Beijing Univ Posts & Telecommun Beijing Peoples R China IFlyTek Surrey Joint Res Ctr Artificial Intellige Guildford Surrey England
This paper, for the very first time, introduces human sketches to the landscape of XAI (Explainable Artificial Intelligence). We argue that sketch as a "human-centred" data form, represents a natural interfa... 详细信息
来源: 评论
Multi-Modal Representation Learning with Text-Driven Soft Masks
Multi-Modal Representation Learning with Text-Driven Soft Ma...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Park, Jaeyoo Han, Bohyung Seoul Natl Univ Comp Vis Lab ECE Seoul South Korea Seoul Natl Univ IPAI Seoul South Korea
We propose a visual-linguistic representation learning approach within a self-supervised learning framework by introducing a new operation, loss, and data augmentation strategy. First, we generate diverse features for... 详细信息
来源: 评论
Continuous Sign Language recognition with Correlation Network
Continuous Sign Language Recognition with Correlation Networ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hu, Lianyu Gao, Liqing Liu, Zekang Feng, Wei Tianjin Univ Coll Intelligence & Comp Tianjin 300350 Peoples R China
Human body trajectories are a salient cue to identify actions in the video. Such body trajectories are mainly conveyed by hands and face across consecutive frames in sign language. However, current methods in continuo... 详细信息
来源: 评论
On the Benefits of 3D Pose and Tracking for Human Action recognition
On the Benefits of 3D Pose and Tracking for Human Action Rec...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Rajasegaran, Jathushan Pavlakos, Georgios Kanazawa, Angjoo Feichtenhofer, Christoph Malik, Jitendra Univ Calif Berkeley Berkeley CA 94720 USA Meta AI FAIR Menlo Pk CA 94025 USA
In this work we study the benefits of using tracking and 3D poses for action recognition. To achieve this, we take the Lagrangian view on analysing actions over a trajectory of human motion rather than at a fixed poin... 详细信息
来源: 评论
Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models
Learning a Practical SDR-to-HDRTV Up-conversion using New Da...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Guo, Cheng Fan, Leidong Xue, Ziyu Jiang, Xiuhua Commun Univ China State Key Lab Media Convergence & Commun Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China Peking Univ Beijing Peoples R China Natl Radio & Televis Adm Acad Broadcasting Sci Beijing Peoples R China
In media industry, the demand of SDR-to-HDRTV up-conversion arises when users possess HDR-WCG (high dynamic range-wide color gamut) TVs while most off-the-shelf footage is still in SDR (standard dynamic range). The re... 详细信息
来源: 评论
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling
LAVENDER: Unifying Video-Language Understanding as Masked La...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Linjie Can, Zhe Lin, Kevin Lin, Chung-Ching Liu, Zicheng Liu, Ce Wang, Lijuan Microsoft Albuquerque NM 87108 USA
Unified vision-language frameworks have greatly advanced in recent years, most of which adopt an encoder-decoder architecture to unify image-text tasks as sequence-to-sequence generation. However, existing video-langu... 详细信息
来源: 评论
Learning Debiased Representations via Conditional Attribute Interpolation
Learning Debiased Representations via Conditional Attribute ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Yi-Kai Wang, Qi-Wei Zhan, De-Chuan Ye, Han-Jia Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China
An image is usually described by more than one attribute like "shape" and "color". When a dataset is biased, i.e., most samples have attributes spuriously correlated with the target label, a Deep N... 详细信息
来源: 评论
GeneCIS: A Benchmark for General Conditional Image Similarity
GeneCIS: A Benchmark for General Conditional Image Similarit...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Vaze, Sagar Carion, Nicolas Misra, Ishan Meta AI FAIR Menlo Pk CA 94025 USA Univ Oxford VGG Oxford England
We argue that there are many notions of 'similarity' and that models, like humans, should be able to adapt to these dynamically. This contrasts with most representation learning methods, supervised or self-sup... 详细信息
来源: 评论
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Jiang, Jingjing Zheng, Nanning Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian Peoples R China
Recently, finetuning pretrained vision-language models (VLMs) has been a prevailing paradigm for achieving state-of-the-art performance in VQA. However, as VLMs scale, it becomes computationally expensive, storage ine... 详细信息
来源: 评论
Edges to Shapes to Concepts: Adversarial Augmentation for Robust vision
Edges to Shapes to Concepts: Adversarial Augmentation for Ro...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Tripathi, Aditay Singh, Rishubh Chakraborty, Anirban Shenoy, Pradeep Indian Inst Sci CDS Bangalore Karnataka India Google Res India Bangalore Karnataka India
Recent work has shown that deep vision models tend to be overly dependent on low-level or "texture" features, leading to poor generalization. Various data augmentation strategies have been proposed to overco... 详细信息
来源: 评论