15 hours ago · To recognize a single object, we need to train a model with images of that object class to make the model familiar with it. This requires annotating and ...
16 hours ago · Abstract. The task of detecting small and tiny objects has not shown significant performance improvement compared to detecting medium and large objects, even ...
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 ...
11 hours ago · Thermal Image Segmentation. 7 benchmarks. 65 papers with code · See all 16 tasks ... 3D Object Detection From Stereo Images. 3 benchmarks. 12 papers with ...
11 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 ...
11 hours ago · Deep learning-based object detection algorithms are widely applied in fields such as aerial image detection, medical image processing, precision agriculture, ...
18 hours ago · Our key insight is that the detector itself can act as a strong auxiliary guidance to accommodate VLM's inability of understanding both the “background” and the ...
12 hours ago · The image set for our object recognition project comprises very large PNG images, each exceeding 500MB, extracted from GeoTIFF files.
15 hours ago · The aim of the project is to practically verify the capabilities of Yolo algorithms in detecting airplanes in photos. Beginner Protip 4 hours 4.
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