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Found 5 papers, 1 papers with code
Adaptive Discovering and Merging for Incremental Novel Class Discovery
One important desideratum of lifelong learning aims to discover novel classes from unlabelled data in a continuous manner.
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning
Efficient motion and appearance modeling are critical for vision-based Reinforcement Learning (RL).
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation
Vision-based reinforcement learning (RL) depends on discriminative representation encoders to abstract the observation states.
Masked Face Recognition with Latent Part Detection
The proposed LPD model is trained in an end-to-end manner and only utilizes the original and synthetic training data.
Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification
To reduce domain divergence caused by that the source and target datasets are collected from different environments, we force to project the DSH feature maps from different domains to a new nominal domain, and a novel domain similarity loss is proposed based on one-class classification.
