This article presents a new control framework using vision language models (VLMs) for multiple tasks and robots. The authors combine the vision-language CLIP model with randomized control. This framework aims…
Continue readingThe research aims to replicate the success of image-text data for video-language models. The researchers fine-tuned a video-language model from a strong image-language baseline with synthesized instructional data. The adapted…
Continue readingVision-Language Models like CLIP are becoming prevalent due to their excellent generalization abilities. However, adapting them for downstream tasks remains challenging. One method involves learning prompts using visual information, but…
Continue readingThis paper introduces a concept called One-shot Open Affordance Learning (OOAL), where a model is trained with just one example per base object category, but is expected to identify novel…
Continue readingThe paper discusses the challenges of extending large-scale pretraining and instruction tuning to vision-language models due to the diversity in visual inputs. The authors propose a more efficient method for…
Continue readingThe paper presents RoboFlamingo, a novel framework for robot manipulation using vision-language models (VLMs). The researchers used pre-trained VLMs and fine-tuned them on robotics data, resulting in a system that…
Continue readingThis research presents PromptAlign, an innovative approach to enhance the effectiveness of vision-language models such as CLIP for zero-shot generalization tasks. Unlike previous methods, PromptAlign addresses the issue of distribution…
Continue readingThis academic paper focuses on the development of a deepfake detection technique that can distinguish between real and fake images. The authors propose a novel approach that utilizes Vision-Language Models…
Continue readingThis article introduces EmoCLIP, a new vision-language model that enhances learning of rich latent representations for zero-shot classification. The model is tested using zero-shot classification on four popular dynamic FER…
Continue readingThe article discusses the use of pretrained Vision-Language Models (VLMs) as zero-shot reward models (RMs) for Reinforcement Learning (RL). The authors propose a method, called VLM-RMs, that uses these models…
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