Semi-Weakly Supervised Object Kinematic Motion Prediction
Author:
Affiliation:
1. Shenzhen University
2. Kuaishou Technology
3. Sun Yat-sen University
4. Tsinghua University
Funder
NSFC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203117.pdf?arnumber=10203117
Reference30 articles.
1. Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
2. Weakly Supervised Deep Detection Networks
3. SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
4. Weakly-Supervised Semantic Segmentation via Sub-Category Exploration
5. Weakly Supervised Cascaded Convolutional Networks
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1. Part-level Scene Reconstruction Affords Robot Interaction;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
2. SIMBA: An Interactive Sketch-Based Tool for Motion Visualization;HCI International 2023 – Late Breaking Papers;2023
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