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06/17/2023
MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation
Given a natural language, a general robot has to comprehend the instruct...
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03/03/2023
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
Multi-task learning has emerged as a powerful paradigm to solve a range ...
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12/14/2022
NLIP: Noise-robust Language-Image Pre-training
Large-scale cross-modal pre-training paradigms have recently shown ubiqu...
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09/19/2022
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving
Aiming towards a holistic understanding of multiple downstream tasks sim...
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05/31/2022
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts
Vision-Language Navigation (VLN) is a challenging task that requires an ...
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03/08/2022
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration
Vision-language navigation (VLN) is a challenging task due to its large ...
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12/08/2021
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
The vision-language navigation (VLN) task requires an agent to reach a t...
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06/21/2021
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving
Aiming at facilitating a real-world, ever-evolving and scalable autonomo...
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03/31/2021
