Our approach minimizes the additional computational requirements, ensuring efficient, and speedy object detection can break through significant applications in fields such as remote sensing, where the accurate detection of small objects is crucial for various tasks. VEDAI RS dataset shows that SRAOD ...
Object detection in remote sensing images has received significant attention for a wide range of applications. However, traditional unimodal remote sensing images, whether based on visible light or infrared, have limitations that cannot be ignored. Visible light images are susceptible to ambient lighting...
"Multimodal Features Alignment for Vision–Language Object Tracking." Remote Sensing (2024). [paper] VLT_OST: Mingzhe Guo, Zhipeng Zhang, Liping Jing, Haibin Ling, Heng Fan. "Divert More Attention to Vision-Language Object Tracking." TPAMI (2024). [paper] [code] SATracker: Jiawei Ge, Xian...
remote-sensingobject-detectionmultimodal-fusion UpdatedAug 20, 2024 Python v-iashin/BMT Star227 Code Issues Pull requests Discussions Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020) audiovideopytorchtransformertemporal-action-proposalsi3dvideo-featuresdense-video-captioningmult...
Multimodal object detection offers a promising prospect to facilitate robust detection in various visual conditions. However, existing two-stream backbone networks are challenged by complex fusion and substantial parameter increments. This is primarily due to large data distribution biases of multimodal homog...
information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these ...
To demonstrate its benefits, we implement a surveillance application using senseye comprising three tasks: object detection, recognition and tracking. We propose novel mechanisms for low-power low-latency detection, low-latency wakeups, efficient recognition and tracking. Our techniques show that a ...
However, on the scale of large countries, this becomes practically impossible due to remote and vast forest territories. The most promising source of data in this case that can provide global monitoring is remote sensing data. Currently, the main challenge is the development of an effective ...
"Multimodal Features Alignment for Vision–Language Object Tracking." Remote Sensing (2024). [paper] VLT_OST: Mingzhe Guo, Zhipeng Zhang, Liping Jing, Haibin Ling, Heng Fan. "Divert More Attention to Vision-Language Object Tracking." TPAMI (2024). [paper] [code] SATracker: Jiawei Ge, Xian...
@ARTICLE{10075555, author={Zhang, Jiaqing and Lei, Jie and Xie, Weiying and Fang, Zhenman and Li, Yunsong and Du, Qian}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery}, year={...