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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4931-4940 订阅
排序:
360MonoDepth: High-Resolution 360° Monocular Depth Estimation
360MonoDepth: High-Resolution 360° Monocular Depth Estimati...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Rey-Area, Manuel Yuan, Mingze Richardt, Christian Univ Bath Bath Avon England
360 degrees cameras can capture complete environments in a single shot, which makes 360 degrees imagery alluring in many computer vision tasks. However, monocular depth estimation remains a challenge for 360 degrees d... 详细信息
来源: 评论
CHEX: CHannel EXploration for CNN Model Compression
CHEX: CHannel EXploration for CNN Model Compression
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hou, Zejiang Qin, Minghai Sun, Fei Ma, Xiaolong Yuan, Kun Xu, Yi Chen, Yen-Kuang Jin, Rong Xie, Yuan Kung, Sun-Yuan Princeton Univ Princeton NJ 08544 USA Alibaba Grp Hangzhou Peoples R China Northeastern Univ Boston MA 02115 USA Dalian Univ Technol Dalian Peoples R China Alibaba Grp DAMO Acad Hangzhou Peoples R China
Channel pruning has been broadly recognized as an effective technique to reduce the computation and memory cost of deep convolutional neural networks. However, conventional pruning methods have limitations in that: th... 详细信息
来源: 评论
SimMatch: Semi-supervised Learning with Similarity Matching
SimMatch: Semi-supervised Learning with Similarity Matching
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zheng, Mingkai You, Shan Huang, Lang Wang, Fei Qian, Chen Xu, Chang Univ Sydney Fac Engn Sch Comp Sci Sydney NSW Australia SenseTime Res Hong Kong Peoples R China Univ Tokyo Tokyo Japan Univ Sci & Technol China Hefei Peoples R China
Learning with few labeled data has been a longstanding problem in the computer vision and machine learning research community. In this paper, we introduced a new semi-supervised learning framework, SimMatch, which sim... 详细信息
来源: 评论
Recurrent Glimpse-based Decoder for Detection with Transformer
Recurrent Glimpse-based Decoder for Detection with Transform...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Zhe Zhang, Jing Tao, Dacheng Univ Sydney Sydney NSW Australia JD Explore Acad Beijing Peoples R China
Although detection with Transformer (DETR) is increasingly popular, its global attention modeling requires an extremely long training period to optimize and achieve promising detection performance. Alternative to exis... 详细信息
来源: 评论
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
DCNAS: Densely Connected Neural Architecture Search for Sema...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Xiong Xu, Hongmin Mo, Hong Tan, Jianchao Yang, Cheng Wang, Lei Ren, Wenqi Joyy Inc Singapore Singapore Kwai Inc AI Platform Bengaluru India Beihang Univ State Key Lab VR Beijing Peoples R China Chinese Acad Sci IIE SKLOIS Beijing Peoples R China
Existing NAS methods for dense image prediction tasks usually compromise on restricted search space or search on proxy task to meet the achievable computational demands. To allow as wide as possible network architectu... 详细信息
来源: 评论
Meta Agent Teaming Active Learning for Pose Estimation
Meta Agent Teaming Active Learning for Pose Estimation
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gong, Jia Fan, Zhipeng Ke, Qiuhong Rahmani, Hossein Liu, Jun Singapore Univ Technol & Design Singapore Singapore NYU New York NY 10003 USA Univ Melbourne Parkville Vic Australia Univ Lancaster Lancaster England
The existing pose estimation approaches often require a large number of annotated images to attain good estimation performance, which are laborious to acquire. To reduce the human efforts on pose annotations, we propo... 详细信息
来源: 评论
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual I...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yu, Qifan Li, Juncheng Wei, Longhui Pang, Liang Ye, Wentao Qin, Bosheng Tang, Siliang Tian, Qi Zhuang, Yueting Zhejiang Univ Hangzhou Peoples R China Huawei Cloud Suzhou Peoples R China Chinese Acad Sci Inst Comp Technol Beijing Peoples R China
Multi-modal Large Language Models (MLLMs) tuned on machine-generated instruction-following data have demonstrated remarkable performance in various multi-modal understanding and generation tasks. However, the hallucin... 详细信息
来源: 评论
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
Back-tracing Representative Points for Voting-based 3D Objec...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cheng, Bowen Sheng, Lu Shi, Shaoshuai Yang, Ming Xu, Dong Beihang Univ Coll Software Beijing Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China Univ Sydney Sydney NSW Australia
3D object detection in point clouds is a challenging vision task that benefits various applications for understanding the 3D visual world. Lots of recent research focuses on how to exploit end-to-end trainable Hough v... 详细信息
来源: 评论
EKILA: Synthetic Media Provenance and Attribution for Generative Art
EKILA: Synthetic Media Provenance and Attribution for Genera...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Balan, Kar Agarwal, Shruti Jenni, Simon Parsons, Andy Gilbert, Andrew Collomosse, John University of Surrey United Kingdom Adobe Inc.
We present EKILA;a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI). EKILA proposes a robust visual attribution technique and combines t... 详细信息
来源: 评论
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
Instance-aware Exploration-Verification-Exploitation for Ins...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Lei, Xiaohan Wang, Min Zhou, Wengang Li, Li Li, Houqiang Univ Sci & Technol China MoE Key Lab Brain Inspired Intelligent Percept & Hefei Anhui Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei Anhui Peoples R China
As a new embodied vision task, Instance ImageGoal Navigation (IIN) aims to navigate to a specified object depicted by a goal image in an unexplored environment. The main challenge of this task lies in identifying the ... 详细信息
来源: 评论