WebCrowdHuman is a benchmark dataset to better evaluate detectors in crowd scenarios. The CrowdHuman dataset is large, rich-annotated and contains high diversity. CrowdHuman … Web7 apr. 2024 · In self-driving cars, object detection algorithms are becoming increasingly important, and the accurate and fast recognition of objects is critical to realize autonomous driving. The existing detection algorithms are not ideal for the detection of small objects. This paper proposes a YOLOX-based network model for multi-scale object detection …
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WebDetecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics Hangjie Yuan,1 Mang Wang,3 Dong Ni,1,2* Liangpeng Xu3 1 College of Control Science and Engineering, Zhejiang University, Hangzhou, China 2 State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China 3 DAMO Academy, … Web1 feb. 2024 · Human-Object Interaction (HOI) detection is the process of estimating the interaction between a human and an object in an image. The first attempts at HOI … taru pistemaa
Object Detection and Person Detection in Computer Vision
WebDownload free computer vision datasets labeled for object detection. Universe Public Datasets Model Zoo Blog Docs. Deploy a Model Explore these datasets, models, and … WebHOI detection aims to find the interactions between hu-man and different objects in a given image/video. Existing HOI detection methods [13, 35, 3] usually contain two sep … WebThe Overlooked Classifier in Human-Object Interaction Recognition. Enter. 2024. 10. UPT-R101. 32.31. 61. Close. Efficient Two-Stage Detection of Human-Object Interactions … taru japanese meaning