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A comprehensive evaluation of self-supervised sp...

Machines need annotations to learn, but human babies learn human languages with almost no annotations. Can machines do the same thing? To allow machines to learn human languages with only observati...

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Argicultural Literature Reading Comprehension ba...

With the maturity of deep learning technology, reading comprehension model (given an article and a question, the AI model automatically finds the answer to the question from the article) has become...

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YOLOv7

YOLOv7 is a new generation of real-time object detector, which provides the most advanced real-time object detection architecture from edge computing to cloud computing.

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Deep Reinforcement Learning in Autonomous Minia...

This project develops a high-performance end-to-end reinforcement learning training platform for autonomous miniature car racing. With this platform, our team won the championship of Amazon DeepRac...

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Super-fast Convergence for Radiance Fields Recon...

The NeRF-based technique describes a super-fast convergence approach to reconstructing the per-scene radiance field from a set of images that capture the scene with known poses.

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Development and application of marine exploratio...

The project is to establish an AUV system capable of performing underwater exploration and ecological surveys in various shallow water areas over a long period. This system can automate the collect...

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