Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Su, Yukun"'
Image-level weakly supervised semantic segmentation is a challenging task that has been deeply studied in recent years. Most of the common solutions exploit class activation map (CAM) to locate object regions. However, such response maps generated by
Externí odkaz:
http://arxiv.org/abs/2309.16959
Weakly supervised object localization (WSOL) strives to learn to localize objects with only image-level supervision. Due to the local receptive fields generated by convolution operations, previous CNN-based methods suffer from partial activation issu
Externí odkaz:
http://arxiv.org/abs/2309.01331
Multi-Object Tracking (MOT) is a crucial computer vision task that aims to predict the bounding boxes and identities of objects simultaneously. While state-of-the-art methods have made remarkable progress by jointly optimizing the multi-task problems
Externí odkaz:
http://arxiv.org/abs/2308.15795
With the development of information technology, robot technology has made great progress in various fields. These new technologies enable robots to be used in industry, agriculture, education and other aspects. In this paper, we propose a drum robot
Externí odkaz:
http://arxiv.org/abs/2308.15061
Deep learning has proved to be very effective in video action recognition. Video violence recognition attempts to learn the human multi-dynamic behaviours in more complex scenarios. In this work, we develop a method for video violence recognition fro
Externí odkaz:
http://arxiv.org/abs/2308.13866
Weakly supervised semantic segmentation (WSSS), which aims to mine the object regions by merely using class-level labels, is a challenging task in computer vision. The current state-of-the-art CNN-based methods usually adopt Class-Activation-Maps (CA
Externí odkaz:
http://arxiv.org/abs/2209.15211
Humans tend to mine objects by learning from a group of images or several frames of video since we live in a dynamic world. In the computer vision area, many researches focus on co-segmentation (CoS), co-saliency detection (CoSD) and video salient ob
Externí odkaz:
http://arxiv.org/abs/2203.04708
Publikováno v:
In Computer Vision and Image Understanding March 2024 240
Data augmentation is vital for deep learning neural networks. By providing massive training samples, it helps to improve the generalization ability of the model. Weakly supervised semantic segmentation (WSSS) is a challenging problem that has been de
Externí odkaz:
http://arxiv.org/abs/2103.01795
Publikováno v:
In Pattern Recognition February 2025 158