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Found 5 papers, 2 papers with code
A Concise but Effective Network for Image Guided Depth Completion in Autonomous Driving
Depth completion is a crucial task in autonomous driving, aiming to convert a sparse depth map into a dense depth prediction.
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning
Recent works based on state-visitation counts, curiosity and entropy-maximization generate intrinsic reward signals to motivate the agent to visit novel states for exploration.
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images
Recent methods for reinforcement learning from images use auxiliary tasks to learn image features that are used by the agent's policy or Q-function.
LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image
To further prove the ability of our method, we test it on public dataset MS COCO, and the results show that our LF-YOLO has a outstanding versatility detection performance.
A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images
Based on SCE module, a narrow network is designed for final weld information recognition.
