Výsledky vyhľadávania - 2018 IEEE CVF Conference on Computer Vision AND Pattern Recognition

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) : Salt Lake City, Utah, USA 18-22 June 2018 Autor IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers

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Two-stream lightweight sign language transformer Autor Chen, Yuming, Mei, Xue, Qin, Xuan

“…Despite the recent progress of continuous sign language translation-based video, a variety of deep learning models are difficult to apply to the real-time…”
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On the Duality Between Retinex and Image Dehazing Autor Galdran, Adrian, Bria, Alessandro, Alvarez-Gila, Aitor, Vazquez-Corral, Javier, Bertalmio, Marcelo

“… Retinex has been widely explored in the computer vision literature for image enhancement and other related tasks…”
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Subspace-PnP: A Geometric Constraint Loss for Mutual Assistance of Depth and Optical Flow Estimation Autor Chi, Cheng, Hao, Tianyu, Wang, Qingjie, Guo, Peng, Yang, Xin

“…, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 4654–4665, 2020; Ranjan et al., in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 12240…”
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Multi-task Adversarial Network for Disentangled Feature Learning Autor Liu, Yang, Wang, Zhaowen, Jin, Hailin, Wassell, Ian

“… The experiments on face recognition and font recognition tasks show that our method outperforms the state-of-the-art methods in terms of both recognizing the…”
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Deformable Siamese Attention Networks for Visual Object Tracking Autor Yu, Yuechen, Xiong, Yilei, Huang, Weilin, Scott, Matthew R.

“…Siamese-based trackers have achieved excellent performance on visual object tracking…”
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VizWiz Grand Challenge: Answering Visual Questions from Blind People Autor Gurari, Danna, Li, Qing, Stangl, Abigale J., Guo, Anhong, Lin, Chi, Grauman, Kristen, Luo, Jiebo, Bigham, Jeffrey P.

“…The study of algorithms to automatically answer visual questions currently is motivated by visual question answering (VQA) datasets constructed in artificial…”
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Improving Calibration for Long-Tailed Recognition Autor Zhong, Zhisheng, Cui, Jiequan, Liu, Shu, Jia, Jiaya

“…Deep neural networks may perform poorly when training datasets are heavily class-imbalanced. Recently, two-stage methods decouple representation learning and…”
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Disentangling Label Distribution for Long-tailed Visual Recognition Autor Hong, Youngkyu, Han, Seungju, Choi, Kwanghee, Seo, Seokjun, Kim, Beomsu, Chang, Buru

“…The current evaluation protocol of long-tailed visual recognition trains the classification model on the long-tailed source label distribution and evaluates its performance on the uniform target label distribution…”
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Hybrid Task Cascade for Instance Segmentation Autor Chen, Kai, Pang, Jiangmiao, Wang, Jiaqi, Xiong, Yu, Li, Xiaoxiao, Sun, Shuyang, Feng, Wansen, Liu, Ziwei, Shi, Jianping, Ouyang, Wanli, Loy, Chen Change, Lin, Dahua

“…Cascade is a classic yet powerful architecture that has boosted performance on various tasks. However, how to introduce cascade to instance segmentation…”
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DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images Autor Demir, Ilke, Koperski, Krzysztof, Lindenbaum, David, Pang, Guan, Huang, Jing, Basu, Saikat, Hughes, Forest, Tuia, Devis, Raskar, Ramesh

“…). Similar to other challenges in computer vision domain such as DAVIS[21] and COCO[33], DeepGlobe proposes three datasets and corresponding evaluation methodologies…”
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MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Autor Li, Shuang, Gong, Kaixiong, Liu, Chi Harold, Wang, Yulin, Qiao, Feng, Cheng, Xinjing

“…Real-world training data usually exhibits long-tailed distribution, where several majority classes have a significantly larger number of samples than the…”
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Feature Denoising for Improving Adversarial Robustness Autor Xie, Cihang, Wu, Yuxin, Maaten, Laurens van der, Yuille, Alan L., He, Kaiming

“…Adversarial attacks to image classification systems present challenges to convolutional networks and opportunities for understanding them. This study suggests…”
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Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation Autor Ke, Liyiming, Li, Xiujun, Bisk, Yonatan, Holtzman, Ari, Gan, Zhe, Liu, Jingjing, Gao, Jianfeng, Choi, Yejin, Srinivasa, Siddhartha

“…We present the Frontier Aware Search with backTracking (FAST) Navigator, a general framework for action decoding, that achieves state-of-the-art results on the 2018 Room-to-Room (R2R…”
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Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation Autor Cheng, Bowen, Collins, Maxwell D., Zhu, Yukun, Liu, Ting, Huang, Thomas S., Adam, Hartwig, Chen, Liang-Chieh

“…In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast system for panoptic segmentation, aiming to establish a solid baseline for bottom-up…”
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Collaborative Spatiotemporal Feature Learning for Video Action Recognition Autor Li, Chao, Zhong, Qiaoyong, Xie, Di, Pu, Shiliang

“…Spatiotemporal feature learning is of central importance for action recognition in videos…”
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CVPR 2019: Call for Papers Deadline November 16: The 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition

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NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images Autor Arad, Boaz, Liu, Dong, Wu, Feng, Lanaras, Charis, Galliani, Silvano, Schindler, Konrad, Stiebel, Tarek, Koppers, Simon, Seltsam, Philipp, Zhou, Ruofan, El Helou, Majed, Ben-Shahar, Ohad, Lahoud, Fayez, Shahpaski, Marjan, Zheng, Ke, Gao, Lianru, Zhang, Bing, Cui, Ximin, Yu, Haoyang, Can, Yigit Baran, Alvarez-Gila, Aitor, van de Weijer, Joost, Timofte, Radu, Garrote, Estibaliz, Galdran, Adrian, Sharma, Manoj, Koundinya, Sriharsha, Upadhyay, Avinash, Manekar, Raunak, Mukhopadhyay, Rudrabha, Sharma, Himanshu, Chaudhury, Santanu, Nagasubramanian, Koushik, Van Gool, Luc, Ghosal, Sambuddha, Singh, Asheesh K., Singh, Arti, Ganapathysubramanian, Baskar, Sarkar, Soumik, Zhang, Lei, Yang, Ming-Hsuan, Xiong, Zhiwei, Chen, Chang, Shi, Zhan

“…This paper reviews the first challenge on spectral image reconstruction from RGB images, i.e…”
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Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation Autor Jin, Yan, Li, Mengke, Lu, Yang, Cheung, Yiu-ming, Wang, Hanzi

“…Deep neural networks have made huge progress in the last few decades. However, as the real-world data often exhibits a long-tailed distribution, vanilla deep…”
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Improving Semantic Segmentation via Video Propagation and Label Relaxation Autor Zhu, Yi, Sapra, Karan, Reda, Fitsum A., Shih, Kevin J., Newsam, Shawn, Tao, Andrew, Catanzaro, Bryan

“…Semantic segmentation requires large amounts of pixel-wise annotations to learn accurate models. In this paper, we present a video prediction-based methodology…”
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