An integral part of video analysis and surveillance is temporal activity detection, which
means to simultaneously recognize and localize activities in long untrimmed videos …

Tracking in the unmanned aerial vehicle (UAV) scenarios is one of the main components of
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …

Abstract" Digital" agriculture is rapidly affecting the value of agricultural output. Robotic
picking of the ripe agricultural product enables accurate and rapid picking, making …

With many platforms and sensors continuously observing the earth surface, the large
amount of remote sensing data presents a big data challenge. While remote sensing data …

In recent years, various neural network architectures for computer vision have been devised,
such as the visual transformer and multilayer perceptron (MLP). A transformer based on an …

Object detection has achieved substantial progress in the last decade. However, detecting
novel classes with only few samples remains challenging, since deep learning under low …

Zero-shot object detection (ZSD), the task that extends conventional detection models to
detecting objects from unseen categories, has emerged as a new challenge in computer …

Zero-shot learning (ZSL) aims to learn models that can recognize unseen image semantics
based on the training of data with seen semantics. Recent studies either leverage the global …

Aiming at the shortcomings of the current YOLOv3 model, such as large size, slow response
speed, and difficulty in deploying to real devices, this paper reconstructs the target detection …

To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in
real time so that early and timely warning can be issued. Machine vision and image …