Search Results - "International journal of computer vision"

Learning to Prompt for Vision-Language Models by Zhou, Kaiyang, Yang, Jingkang, Loy, Chen Change, Liu, Ziwei

“…Large pre-trained vision-language models like CLIP have shown great potential in learning representations that are transferable across a wide range of…”
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Knowledge Distillation: A Survey by Gou, Jianping, Yu, Baosheng, Maybank, Stephen J., Tao, Dacheng

“…In recent years, deep neural networks have been successful in both industry and academia, especially for computer vision tasks. The great success of deep…”
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FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking by Zhang, Yifu, Wang, Chunyu, Wang, Xinggang, Zeng, Wenjun, Liu, Wenyu

“…Multi-object tracking (MOT) is an important problem in computer vision which has a wide range of applications. Formulating MOT as multi-task learning of object…”
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BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation by Yu, Changqian, Gao, Changxin, Wang, Jingbo, Yu, Gang, Shen, Chunhua, Sang, Nong

“…Low-level details and high-level semantics are both essential to the semantic segmentation task. However, to speed up the model inference, current approaches…”
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization by Selvaraju, Ramprasaath R., Cogswell, Michael, Das, Abhishek, Vedantam, Ramakrishna, Parikh, Devi, Batra, Dhruv

“…We propose a technique for producing ‘visual explanations’ for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them…”
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Deep Learning for Generic Object Detection: A Survey by Liu, Li, Ouyang, Wanli, Wang, Xiaogang, Fieguth, Paul, Chen, Jie, Liu, Xinwang, Pietikäinen, Matti

“…Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined…”
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Group Normalization by Wu, Yuxin, He, Kaiming

“…Batch Normalization (BN) is a milestone technique in the development of deep learning, enabling various networks to train. However, normalizing along the batch…”
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The Open Images Dataset V4: Unified Image Classification, Object Detection, and Visual Relationship Detection at Scale by Kuznetsova, Alina, Rom, Hassan, Alldrin, Neil, Uijlings, Jasper, Krasin, Ivan, Pont-Tuset, Jordi, Kamali, Shahab, Popov, Stefan, Malloci, Matteo, Kolesnikov, Alexander, Duerig, Tom, Ferrari, Vittorio

“…We present Open Images V4, a dataset of 9.2M images with unified annotations for image classification, object detection and visual relationship detection. The…”
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Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100 by Damen, Dima, Doughty, Hazel, Farinella, Giovanni Maria, Furnari, Antonino, Kazakos, Evangelos, Ma, Jian, Moltisanti, Davide, Munro, Jonathan, Perrett, Toby, Price, Will, Wray, Michael

“…This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection…”
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Image Matching from Handcrafted to Deep Features: A Survey by Ma, Jiayi, Jiang, Xingyu, Fan, Aoxiang, Jiang, Junjun, Yan, Junchi

“…As a fundamental and critical task in various visual applications, image matching can identify then correspond the same or similar structure/content from two…”
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HOTA: A Higher Order Metric for Evaluating Multi-object Tracking by Luiten, Jonathon, Os̆ep, Aljos̆a, Dendorfer, Patrick, Torr, Philip, Geiger, Andreas, Leal-Taixé, Laura, Leibe, Bastian

“…Multi-object tracking (MOT) has been notoriously difficult to evaluate. Previous metrics overemphasize the importance of either detection or association. To…”
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CornerNet: Detecting Objects as Paired Keypoints by Law, Hei, Deng, Jia

“…We propose CornerNet, a new approach to object detection where we detect an object bounding box as a pair of keypoints, the top-left corner and the…”
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Video Enhancement with Task-Oriented Flow by Xue, Tianfan, Chen, Baian, Wu, Jiajun, Wei, Donglai, Freeman, William T.

“…Many video enhancement algorithms rely on optical flow to register frames in a video sequence. Precise flow estimation is however intractable; and optical flow…”
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Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation by Zheng, Zhedong, Yang, Yi

“…This paper focuses on the unsupervised domain adaptation of transferring the knowledge from the source domain to the target domain in the context of semantic…”
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Semantic Understanding of Scenes Through the ADE20K Dataset by Zhou, Bolei, Zhao, Hang, Puig, Xavier, Xiao, Tete, Fidler, Sanja, Barriuso, Adela, Torralba, Antonio

“…Semantic understanding of visual scenes is one of the holy grails of computer vision. Despite efforts of the community in data collection, there are still few…”
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DRIT++: Diverse Image-to-Image Translation via Disentangled Representations by Lee, Hsin-Ying, Tseng, Hung-Yu, Mao, Qi, Huang, Jia-Bin, Lu, Yu-Ding, Singh, Maneesh, Yang, Ming-Hsuan

“…Image-to-image translation aims to learn the mapping between two visual domains. There are two main challenges for this task: (1) lack of aligned training…”
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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations by Krishna, Ranjay, Zhu, Yuke, Groth, Oliver, Johnson, Justin, Hata, Kenji, Kravitz, Joshua, Chen, Stephanie, Kalantidis, Yannis, Li, Li-Jia, Shamma, David A., Bernstein, Michael S., Fei-Fei, Li

“…Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question…”
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Human Action Recognition and Prediction: A Survey by Kong, Yu, Fu, Yun

“…Derived from rapid advances in computer vision and machine learning, video analysis tasks have been moving from inferring the present state to predicting the…”
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Semantic Foggy Scene Understanding with Synthetic Data by Sakaridis, Christos, Dai, Dengxin, Van Gool, Luc

“…This work addresses the problem of semantic foggy scene understanding (SFSU). Although extensive research has been performed on image dehazing and on semantic…”
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Beyond Brightening Low-light Images by Zhang, Yonghua, Guo, Xiaojie, Ma, Jiayi, Liu, Wei, Zhang, Jiawan

“…Images captured under low-light conditions often suffer from (partially) poor visibility. Besides unsatisfactory lightings, multiple types of degradation, such…”
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