End-to-end visual grounding with transformers
WebTransVG: End-to-End Visual Grounding with Transformers Jiajun Dengy, Zhengyuan Yang z, Tianlang Chen , Wengang Zhou y, and Houqiang Li yCAS Key Laboratory of GIPAS, University of Science and ... http://www.svcl.ucsd.edu/people/johnho/publication/eccvw22/eccvw22_yoro.pdf
End-to-end visual grounding with transformers
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WebEdit social preview. In this paper, we present a neat yet effective transformer-based framework for visual grounding, namely TransVG, to address the task of grounding a language query to the corresponding region onto an image. The state-of-the-art methods, including two-stage or one-stage ones, rely on a complex module with manually-designed ...
WebarXiv.org e-Print archive WebJun 14, 2024 · In this work, we explore neat yet effective Transformer-based frameworks for visual grounding. The previous methods generally address the core problem of …
Web2 days ago · Grounding referring expressions in RGBD image has been an emerging field. We present a novel task of 3D visual grounding in single-view RGBD image where the referred objects are often only ... WebApr 17, 2024 · In this paper, we present a neat yet effective transformer-based framework for visual grounding, namely TransVG, to address the task of grounding a language query to the corresponding region onto an image. The state-of-the-art methods, including two-stage or one-stage ones, rely on a complex module with manually-designed mechanisms …
WebMay 10, 2024 · An unofficial pytorch implementation of "TransVG: End-to-End Visual Grounding with Transformers". License
WebTransVG: End-to-End Visual Grounding with Transformers. In this paper, we present a neat yet effective transformer-based framework for visual grounding, namely … proactive and reactive language examplesWebApr 10, 2024 · Extracting building data from remote sensing images is an efficient way to obtain geographic information data, especially following the emergence of deep learning technology, which results in the automatic extraction of building data from remote sensing images becoming increasingly accurate. A CNN (convolution neural network) is a … proactive and reactive marketing examplesWebIn the paper, we present Visual Grounding Transformer, an efficient end-to-end framework to solve the visual grounding problem. We propose to learn visual features under the guidance of the language expression. The core of our framework is the grounding encoder with visual and textual branches, capturing visual context that is … proactive and reactive flowWebApr 17, 2024 · In this paper, we present a neat yet effective transformer-based framework for visual grounding, namely TransVG, to address the task of grounding a language query to the corresponding region onto an image. The state-of-the-art methods, including two-stage or one-stage ones, rely on a complex module with manually-designed mechanisms … proactive and reactive cyber securityWebJun 14, 2024 · TransVG++: End-to-End Visual Grounding with Language Conditioned Vision Transformer. In this work, we explore neat yet effective Transformer-based … proactive and reactive hiringWebJun 14, 2024 · However, the core fusion Transformer in TransVG is stand-alone against uni-modal encoders, and thus should be trained from scratch on limited visual grounding data, which makes it hard to be optimized and leads to sub-optimal performance. To this end, we further introduce TransVG++ to make two-fold improvements. proactive and reactive planningWebAug 11, 2024 · share. Given a textual phrase and an image, the visual grounding problem is defined as the task of locating the content of the image referenced by the sentence. It is a challenging task that has several real-world applications in human-computer interaction, image-text reference resolution, and video-text reference resolution. In the last years ... proactive and reactive pr