Results 11 to 20 of about 11,225,352 (285)
YOLO-DSNet for Small Target Detection
Applied SciencesSmall target detection in Unmanned Aerial Vehicle (UAV) applications is often plagued by inherent challenges such as small object sizes, sparse information, and complex background interference.
Haokun Xu +4 more
doaj +3 more sources
An Improved SSD for small target detection [PDF]
2021 6th International Conference on Multimedia and Image Processing, 2021 SSD is one of heuristic one-stage target detection approaches. Although it has got impressive results in general target detection, it still struggles in small-size object detection and precise location. In this paper, we proposed an improved SSD which forces on the small-size target detection.
Xiang Li, Haibo Luo
openaire +3 more sources
A real-time small target detection network
Signal, Image and Video Processing, 2021 Target detection based on deep convolutional neural network has achieved excellent performance. However, small target detection is still one of the challenges in the field of computer vision. In this paper, we present an efficient network for real-time small target detection.
Moran Ju +3 more
core +3 more sources
MWIRSTD: A MWIR Small Target Detection Dataset [PDF]
2024 IEEE International Conference on Image Processing (ICIP)Accepted in ...
Nikhil Kumar +4 more
core +6 more sources
Pixel-wise attention driven infrared small target detection network
Xibei Gongye Daxue XuebaoInfrared small target detection has been widely used in the military and civil fields. The detection difficulties lie in small target size, few details and complex background interference.
WANG Xiaolin +4 more
doaj +2 more sources
Millimetre wave imaging for concealed target detection [PDF]
, 2011 PhDConcealed weapon detection (CWD) has been a hot topic as the concern about pub- lic safety increases. A variety of approaches for the detection of concealed objects on the human body based on earth magnetic ¯eld distortion, inductive magnetic ¯eld,
Zhang, Lianhong
core +4 more sources
CourtNet for Infrared Small-Target Detection
CoRR, 2022 Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at separating small targets from complex background clutter. The infrared radiation decays over distances, making the targets highly dim and prone to confusion with the background clutter, which makes the detector challenging to balance the precision and recall rate.
Jingchao Peng +4 more
openaire +2 more sources
Discriminative Autoencoders for Small Targets Detection [PDF]
2014 22nd International Conference on Pattern Recognition, 2014 This paper introduces the new concept of discriminative autoencoders. In contrast with the standard autoencoders -- which are artificial neural networks used to learn compressed representation for a set of data -- discriminative autoencoders aim at learning low-dimensional discriminant encodings using two classes of data (denoted such as the positive ...
Razakarivony, Sebastien +1 more
openaire +2 more sources
Remote Sensing, 2022 Buildings bear much of the damage from natural disasters, and determining the extent of this damage is of great importance to post-disaster emergency relief.
Zhengbo Yu +7 more
doaj +1 more source
Vehicle detection in aerial imagery : A small target detection benchmark [PDF]
Journal of Visual Communication and Image Representation, 2016 This paper introduces VEDAI: Vehicle Detection in Aerial Imagery a new database of aerial images provided as a tool to benchmark automatic target recognition algorithms in unconstrained environments. The vehicles contained in the database, in addition of being small, exhibit different variabil-ities such as multiple orientations, lighting/shadowing ...
Razakarivony, Sébastien +1 more
openaire +3 more sources