Few shot object detection for headdresses and seats in Thangka Yidam based on ResNet and deformable convolution
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2041554
Abstract: Aiming at the problems of few detecting samples, deformable target sizes and overlapping among targets in the detection of headdresses and seats of Thangka Yidam, we propose an optimised few shot Thangka detection method based… read more here.
Keywords: deformable convolution; thangka yidam; headdresses seats; detection headdresses ... See more keywords
Action Prediction Based on Partial Video Observation via Context and Temporal Sequential Network With Deformable Convolution
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DOI: 10.1109/access.2020.3008848
Abstract: Predicting activity motion form video is of great importance with multiple applications in computer vision. From the self-driving cars field to the health system, the earlier the anticipation the higher the classification probability success. The… read more here.
Keywords: video; action prediction; deformable convolution; prediction ... See more keywords
Multilevel Feature Alignment Based on Spatial Attention Deformable Convolution for Cross-Scene Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3227251
Abstract: Nowadays, domain adaptation (DA) is getting more attention in cross-scene hyperspectral image classification (HSIC), and various DA algorithms have been proposed. However, regular convolution indiscriminately extracting features around the center pixel will result in the… read more here.
Keywords: deformable convolution; attention deformable; spatial attention; feature ... See more keywords
An Improved Normed-Deformable Convolution for Crowd Counting
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DOI: 10.1109/lsp.2022.3198371
Abstract: In recent years, crowd counting has become an important issue in computer vision. In most methods, the density maps are generated by convolving with a Gaussian kernel from the ground-truth dot maps which are marked… read more here.
Keywords: deformable convolution; improved normed; sampling points; crowd counting ... See more keywords
Deformable Object Tracking With Gated Fusion
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2902784
Abstract: The tracking-by-detection framework receives growing attention through the integration with the convolutional neural networks (CNNs). Existing tracking-by-detection-based methods, however, fail to track objects with severe appearance variations. This is because the traditional convolutional operation is… read more here.
Keywords: appearance; deformable convolution; tracking detection; gated fusion ... See more keywords
Light Field Image Super-Resolution Using Deformable Convolution
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DOI: 10.1109/tip.2020.3042059
Abstract: Light field (LF) cameras can record scenes from multiple perspectives, and thus introduce beneficial angular information for image super-resolution (SR). However, it is challenging to incorporate angular information due to disparities among LF images. In… read more here.
Keywords: image super; resolution; super resolution; light field ... See more keywords
Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3176537
Abstract: Convolutional neural networks are widely used in the field of hyperspectral image classification because of their excellent nonlinear feature extraction ability. However, as the sampling position of the regular convolution kernel is unchangeable, the regular… read more here.
Keywords: deformable convolution; classification; image classification; hyperspectral image ... See more keywords