One Pixel Attack for Fooling Deep Neural Networks [PDF]
IEEE Transactions on Evolutionary Computation, 2017 Recent research has revealed that the output of deep neural networks (DNNs) can be easily altered by adding relatively small perturbations to the input vector.
Jiawei Su +2 more
semanticscholar +1 more source
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 Existing studies in weakly-supervised semantic segmentation (WSSS) using image-level weak supervision have several limitations: sparse object coverage, inaccurate object boundaries, and co-occurring pixels from non-target objects.
Seungho Lee +3 more
semanticscholar +1 more source
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation [PDF]
Computer Vision and Pattern Recognition, 2018 This paper addresses the challenge of 6DoF pose estimation from a single RGB image under severe occlusion or truncation. Many recent works have shown that a two-stage approach, which first detects keypoints and then solves a Perspective-n-Point (PnP ...
Sida Peng +4 more
semanticscholar +1 more source
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization [PDF]
Computer Vision and Pattern Recognition, 2020 Recent advances in image-based 3D human shape estimation have been driven by the significant improvement in representation power afforded by deep neural networks.
Shunsuke Saito +3 more
semanticscholar +1 more source
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations [PDF]
Computer Vision and Pattern Recognition, 2019 This paper presents a novel approach for learning instance segmentation with image-level class labels as supervision. Our approach generates pseudo instance segmentation labels of training images, which are used to train a fully supervised model.
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
semanticscholar +1 more source
Aplicación de técnicas de imagen para la evaluación de la madurez fenólica de semillas de uva [PDF]
, 2017 Quality of wine depends fundamentally on the condition of the components of grapes at the moment of harvest. In this respect, their seeds directly affect to structure, astringency, stability, and indirectly to colour of wine.
González-Miret Martín, María Lourdes +2 more
core +1 more source
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
PLoS ONE, 2015 Understanding and interpreting classification decisions of automated image classification systems is of high value in many applications, as it allows to verify the reasoning of the system and provides additional information to the human expert.
Sebastian Bach +5 more
semanticscholar +1 more source
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network [PDF]
IEEE International Conference on Computer Vision, 2019 Scene text detection, an important step of scene text reading systems, has witnessed rapid development with convolutional neural networks. Nonetheless, two main challenges still exist and hamper its deployment to real-world applications.
Wenhai Wang +7 more
semanticscholar +1 more source
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation [PDF]
IEEE International Conference on Computer Vision, 2019 Estimating the 6D pose of objects using only RGB images remains challenging because of problems such as occlusion and symmetries. It is also difficult to construct 3D models with precise texture without expert knowledge or specialized scanning devices ...
Kiru Park, T. Patten, M. Vincze
semanticscholar +1 more source
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment [PDF]
IEEE International Conference on Computer Vision, 2019 RGB-Infrared (IR) person re-identification is an important and challenging task due to large cross-modality variations between RGB and IR images.
Guan'an Wang +5 more
semanticscholar +1 more source