Zobrazeno 1 - 10
of 2 327
pro vyhledávání: '"CHEN Dongdong"'
Publikováno v:
Jixie chuandong, Vol 48, Pp 42-47 (2024)
To solve the problem of obstacle avoidance and path planning of tetrahedral tumbling robots in the triangular grid map, a path planning method based on the A* algorithm for tetrahedral tumbling robots is proposed. Based on the robot motion principle,
Externí odkaz:
https://doaj.org/article/ad82345ecb614db4a0aad679c4ffaaf1
Publikováno v:
Shipin yu jixie, Vol 39, Iss 10, Pp 49-55 (2023)
Objective: This study aimed to establish a method for the Preparation of matrix reference material for carbaryl residues in Chinese yam flour. Methods: Yam powder containing menafyl was prepared by homogenized, freeze-dried, ground, sifted, mixed and
Externí odkaz:
https://doaj.org/article/7ecf0024ae7c49fd84220a529e6fc417
Autor:
CHEN Dongdong
Publikováno v:
Meikuang Anquan, Vol 54, Iss 7, Pp 123-129 (2023)
For the difficulties in the construction of the directional drilling along the coal seam adjacent to the goaf under the influence of mining, such as the difficulty in hole formation and the inability of conventional measures to implement hydraulic fr
Externí odkaz:
https://doaj.org/article/5801a9cc98dd44edb7e4ff2a4ef132e9
Publikováno v:
Energy Science & Engineering, Vol 11, Iss 3, Pp 1311-1324 (2023)
Abstract Gas drainage is an important measure to ensure energy safety in coal mines. However, for mines with high gas content and low permeability, the critical question is how to enhance the drainage effect of drilling. By using the self‐unloading
Externí odkaz:
https://doaj.org/article/a100e94711a84d0e8f3947c82038901f
Representing the cutting-edge technique of text-to-image models, the latest Multimodal Diffusion Transformer (MMDiT) largely mitigates many generation issues existing in previous models. However, we discover that it still suffers from subject neglect
Externí odkaz:
http://arxiv.org/abs/2411.18301
Autor:
Huang, Weiquan, Wu, Aoqi, Yang, Yifan, Luo, Xufang, Yang, Yuqing, Hu, Liang, Dai, Qi, Dai, Xiyang, Chen, Dongdong, Luo, Chong, Qiu, Lili
CLIP is a foundational multimodal model that aligns image and text features into a shared space using contrastive learning on large-scale image-text pairs. Its strength lies in leveraging natural language as a rich supervisory signal. With the rapid
Externí odkaz:
http://arxiv.org/abs/2411.04997
Scene graphs offer a structured, hierarchical representation of images, with nodes and edges symbolizing objects and the relationships among them. It can serve as a natural interface for image editing, dramatically improving precision and flexibility
Externí odkaz:
http://arxiv.org/abs/2410.11815
Through the integration of external tools, large language models (LLMs) such as GPT-4o and Llama 3.1 significantly expand their functional capabilities, evolving from elementary conversational agents to general-purpose assistants. We argue that the p
Externí odkaz:
http://arxiv.org/abs/2410.10872
With the release of GPT-4V(O), its use in generating pseudo labels for multi-modality tasks has gained significant popularity. However, it is still a secret how to build such advanced models from its base large language models (LLMs). This work explo
Externí odkaz:
http://arxiv.org/abs/2409.16517
Autor:
Feng, Xuelu, Li, Yunsheng, Chen, Dongdong, Qiao, Chunming, Yuan, Junsong, Yuan, Lu, Hua, Gang
We introduce pluralistic salient object detection (PSOD), a novel task aimed at generating multiple plausible salient segmentation results for a given input image. Unlike conventional SOD methods that produce a single segmentation mask for salient ob
Externí odkaz:
http://arxiv.org/abs/2409.02368