Results 31 to 40 of about 7,708,764 (303)
Augmentation for small object detection
9th International Conference on Advances in Computing and Information Technology (ACITY 2019), 2019 In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of small and large objects. We analyze the current state-of-the-art model, Mask-RCNN, on a challenging dataset, MS COCO.
Mate Kisantal +4 more
openaire +2 more sources
Object-oriented echo perception and cortical representation in echolocating bats [PDF]
, 2007 Echolocating bats can identify three-dimensional objects exclusively through the analysis of acoustic echoes of their ultrasonic emissions. However, objects of the same structure can differ in size, and the auditory system must achieve a size-invariant ...
Schuchmann Maike +15 more
core +1 more source
YOLO-MFD: Object Detection for Multi-Scenario Fires
InformationFire refers to a disaster caused by combustion that is uncontrolled in the temporal and spatial dimensions, occurring in diverse complex scenarios where timely and effective detection is crucial.
Fuchuan Mo +4 more
doaj +1 more source
Small Object Detection and Tracking: A Comprehensive Review
Sensors, 2023 Object detection and tracking are vital in computer vision and visual surveillance, allowing for the detection, recognition, and subsequent tracking of objects within images or video sequences.
Behzad Mirzaei +3 more
doaj +1 more source
Object categorisation, object naming, and viewpoint-independence in visual remembering: Evidence from young children's drawings of a novel object [PDF]
, 2008 A simple object-drawing task confirms a three-way association between object categorisation, viewpoint independence, and longer-term visual remembering. Young children (5- to 7-year-olds) drew a familiar object or a novel object, immediately after it had
Bremner, J. Gavin +4 more
core +3 more sources
DroneNet: Rescue Drone-View Object Detection
Drones, 2023 Recently, the research on drone-view object detection (DOD) has predominantly centered on efficiently identifying objects through cropping high-resolution images. However, it has overlooked the distinctive challenges posed by scale imbalance and a higher
Xiandong Wang +7 more
doaj +1 more source
UAV Image Small Object Detection Based on RSAD Algorithm
Applied Sciences, 2023 There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network’s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper ...
Jian Song +5 more
doaj +1 more source
Drones, 2022 To solve the problem of low detection accuracy of small objects in UAV optical remote sensing images due to low contrast, dense distribution, and weak features, this paper proposes a small object detection method based on feature alignment of candidate ...
Jinkang Wang +3 more
doaj +1 more source
Small Object Detection with Multiscale Features [PDF]
International Journal of Digital Multimedia Broadcasting, 2018 The existing object detection algorithm based on the deep convolution neural network needs to carry out multilevel convolution and pooling operations to the entire image in order to extract a deep semantic features of the image. The detection models can get better results for big object.
Guo X. Hu +4 more
openaire +3 more sources
TranSDet: Toward Effective Transfer Learning for Small-Object Detection
, 2023 Small-object detection is a challenging task in computer vision due to the limited training samples and low-quality images. Transfer learning, which transfers the knowledge learned from a large dataset to a small dataset, is a popular method for ...
Kang Liu +5 more
core +1 more source