Results 91 to 100 of about 1,105,657 (336)

Improving object detection by enhancing the effect of localisation quality evaluation on detection confidence

IET Computer Vision
The one‐stage object detector has been widely applied in many computer vision applications due to its high detection efficiency and simple framework.
Zuyi Wang, Wei Zhao, Li Xu
doaj   +1 more source

Toward Versatile Small Object Detection with Temporal-YOLOv8

Sensors
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features.
Martin C. van Leeuwen, Ella P. Fokkinga, Wyke Huizinga, Jan Baan, Friso G. Heslinga   +4 more
doaj   +1 more source

Object Detection in Equirectangular Panorama [PDF]

2018 24th International Conference on Pattern Recognition (ICPR), 2018
6 ...
Wenyan Yang, Joni-Kristian Kamarainen, Yanlin Qian, Francesco Cricri, Lixin Fan   +4 more
openaire   +3 more sources

ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling

FEBS Letters, EarlyView.
In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li, Gerard van der Zon, Peter ten Dijke, Tong Shen   +3 more
wiley   +1 more source

Lightweight marine biodetection model based on improved YOLOv10

Alexandria Engineering Journal
In IoT-enabled marine biology, real-time monitoring of marine organisms faces challenges due to blurred images and complex underwater backgrounds, which hinder feature extraction and lead to missed detections.
Wei Pan, Jiabao Chen, Bangjun Lv, Likun Peng   +3 more
doaj   +1 more source

Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review

Micromachines, 2021
Video object and human action detection are applied in many fields, such as video surveillance, face recognition, etc. Video object detection includes object classification and object location within the frame.
Dengshan Li, Rujing Wang, Peng Chen, Chengjun Xie, Qiong Zhou, Xiufang Jia   +5 more
doaj   +1 more source

Visualizing Object Detection Features [PDF]

International Journal of Computer Vision, 2016
We introduce algorithms to visualize feature spaces used by object detectors. Our method works by inverting a visual feature back to multiple natural images. We found that these visualizations allow us to analyze object detection systems in new ways and gain new insight into the detector's failures.
Pirsiavash, Hamed, Malisiewicz, Tomasz, Vondrick, Carl Martin, Khosla, Aditya, Torralba, Antonio   +4 more
openaire   +5 more sources

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

FEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan, Victoria Scarpelli, Marten Exterkate   +2 more
wiley   +1 more source

Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function

Remote Sensing, 2021
Object detection is an important process in surveillance system to locate objects and it is considered as major application in computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object detection
S. N. Shivappriya, M. Jasmine Pemeena Priyadarsini, Andrzej Stateczny, C. Puttamadappa, B. D. Parameshachari   +4 more
doaj   +1 more source

What makes for effective detection proposals?

, 2015
Current top performing object detectors employ detection proposals to guide the search for objects, thereby avoiding exhaustive sliding window search across images.
Benenson, Rodrigo, Dollár, Piotr, Hosang, Jan, Schiele, Bernt   +3 more
core   +1 more source