Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karnsund, Alice"'
Autor:
Renz, Katrin, Chen, Long, Marcu, Ana-Maria, Hünermann, Jan, Hanotte, Benoit, Karnsund, Alice, Shotton, Jamie, Arani, Elahe, Sinavski, Oleg
In this technical report, we present CarLLaVA, a Vision Language Model (VLM) for autonomous driving, developed for the CARLA Autonomous Driving Challenge 2.0. CarLLaVA uses the vision encoder of the LLaVA VLM and the LLaMA architecture as backbone, a
Externí odkaz:
http://arxiv.org/abs/2406.10165
Autor:
Marcu, Ana-Maria, Chen, Long, Hünermann, Jan, Karnsund, Alice, Hanotte, Benoit, Chidananda, Prajwal, Nair, Saurabh, Badrinarayanan, Vijay, Kendall, Alex, Shotton, Jamie, Arani, Elahe, Sinavski, Oleg
Autonomous driving has long faced a challenge with public acceptance due to the lack of explainability in the decision-making process. Video question-answering (QA) in natural language provides the opportunity for bridging this gap. Nonetheless, eval
Externí odkaz:
http://arxiv.org/abs/2312.14115
Autor:
Chen, Long, Sinavski, Oleg, Hünermann, Jan, Karnsund, Alice, Willmott, Andrew James, Birch, Danny, Maund, Daniel, Shotton, Jamie
Large Language Models (LLMs) have shown promise in the autonomous driving sector, particularly in generalization and interpretability. We introduce a unique object-level multimodal LLM architecture that merges vectorized numeric modalities with a pre
Externí odkaz:
http://arxiv.org/abs/2310.01957
Autor:
Karnsund, Alice
This degree project presents a reinforcement learning (RL) approach called deep Q-network (DQN) for learning how to play the game Candy Crush Friends Saga (CCFS). The DQN algorithm is implemented together with three extensions, which in 2015 resulted
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263313
Autor:
Samuelsson, Elin, Karnsund, Alice
Machine learning and neural networks have recently become hot topics in many research areas. They have already proved to be useful in the fields of medicine and biotechnology. In these areas, they can be used to facilitate complicated and time consum
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210867
Autor:
Karnsund, Alice, Samuelsson, Elin
Machine learning and neural networks haverecently become hot topics in many research areas. They havealready proved to be useful in the fields of medicine andbiotechnology. In these areas, they can be used to facilitatecomplicated and time consuming
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214731
Autor:
Karnsund, Alice
This degree project presents a reinforcement learning (RL) approach called deep Q-network (DQN) for learning how to play the game Candy Crush Friends Saga (CCFS). The DQN algorithm is implemented together with three extensions, which in 2015 resulted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0c7a17bd0951fbe0ffcb494f7c050438
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263313
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263313