Extreme clicking for efficient object annotation
DP Papadopoulos, JRR Uijlings… - Proceedings of the …, 2017 - openaccess.thecvf.com
Manually annotating object bounding boxes is central to building computer vision datasets,
and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box …
and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box …
Contextlocnet: Context-aware deep network models for weakly supervised localization
We aim to localize objects in images using image-level supervision only. Previous
approaches to this problem mainly focus on discriminative object regions and often fail to …
approaches to this problem mainly focus on discriminative object regions and often fail to …
Salient color names for person re-identification
Color naming, which relates colors with color names, can help people with a semantic
analysis of images in many computer vision applications. In this paper, we propose a novel …
analysis of images in many computer vision applications. In this paper, we propose a novel …
[HTML][HTML] An instance segmentation model for strawberry diseases based on mask R-CNN
Plant diseases must be identified at the earliest stage for pursuing appropriate treatment
procedures and reducing economic and quality losses. There is an indispensable need for …
procedures and reducing economic and quality losses. There is an indispensable need for …
The Pascal Visual Object Classes Challenge: A Retrospective
M Everingham, SMA Eslami, L Van Gool… - International journal of …, 2015 - Springer
Abstract The Pascal Visual Object Classes (VOC) challenge consists of two components:(i) a
publicly available dataset of images together with ground truth annotation and standardised …
publicly available dataset of images together with ground truth annotation and standardised …
High-performance deep neural network-based tomato plant diseases and pests diagnosis system with refinement filter bank
AF Fuentes, S Yoon, J Lee, DS Park - Frontiers in plant science, 2018 - frontiersin.org
A fundamental problem that confronts deep neural networks is the requirement of a large
amount of data for a system to be efficient in complex applications. Promising results of this …
amount of data for a system to be efficient in complex applications. Promising results of this …
Areas of attention for image captioning
Abstract We propose" Areas of Attention", a novel attention-based model for automatic
image captioning. Our approach models the dependencies between image regions, caption …
image captioning. Our approach models the dependencies between image regions, caption …
Weakly supervised object localization with multi-fold multiple instance learning
Object category localization is a challenging problem in computer vision. Standard
supervised training requires bounding box annotations of object instances. This time …
supervised training requires bounding box annotations of object instances. This time …
Leveraging prior-knowledge for weakly supervised object detection under a collaborative self-paced curriculum learning framework
Weakly supervised object detection is an interesting yet challenging research topic in
computer vision community, which aims at learning object models to localize and detect the …
computer vision community, which aims at learning object models to localize and detect the …
Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information
A Fuentes, S Yoon, J Park, DS Park - Computers and Electronics in …, 2020 - Elsevier
Behavior is an important indicator for understanding the well-being of animals. This process
has been frequently carried out by observing video records to detect changes with statistical …
has been frequently carried out by observing video records to detect changes with statistical …