15 hours ago · In the computer vision domain, a fundamental problem is object recognition and classification. To recognize a single object, we need to train a model with ...
12 hours ago · Object detection is a vast domain which comprises of various methods of detecting objects efficiently and with good accuracy. Most of the images that we use ...
18 hours ago · This paper studies zero-shot object recognition using event camera data. Guided by CLIP, which is pre-trained on RGB images, existing approaches achieve ...
7 hours ago · Real-Time Object Detection. 6 benchmarks. 116 papers with code · RGB Salient Object Detection. 33 benchmarks. 98 papers with code · Few-Shot Object Detection.
49 minutes ago · Introducing Roboflow 100: A New Object Detection Benchmark. Advancing SOTA in object recognition with a new way to benchmark CV models on real-world ...
22 hours ago · Dive into the world of object recognition using .NET and the ONNX format. This guide walks you through the essential steps, from setting up your environment ...
11 hours ago · Traditional object detection algorithms often rely on manually designed feature extraction methods such as scale-invariant feature transform (SIFT), and speeded ...
14 hours ago · CNNs use filters to convolve over image data, extracting features that are essential for tasks such as image classification, object detection, and facial ...
18 hours ago · MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection. Authors:Kuo Wang, Lechao Cheng, Weikai Chen, ...
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