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05/24/2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Subject-driven text-to-image generation models create novel renditions o...
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05/13/2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Large language models (LLMs) pretrained on vast source code have achieve...
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05/11/2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
General-purpose language models that can solve various language-domain t...
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01/30/2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
The cost of vision-and-language pre-training has become increasingly pro...
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12/21/2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Large language models (LLMs) have demonstrated excellent zero-shot gener...
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11/29/2022
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems
We introduce BotSIM, a modular, open-source Bot SIMulation environment w...
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10/17/2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Visual question answering (VQA) is a hallmark of vision and language rea...
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09/15/2022
LAVIS: A Library for Language-Vision Intelligence
We introduce LAVIS, an open-source deep learning library for LAnguage-VI...
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01/28/2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Vision-Language Pre-training (VLP) has advanced the performance for many...
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11/18/2021
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes
Despite great progress in object detection, most existing methods are li...
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12/13/2018
Learning to Learn from Noisy Labeled Data
Despite the success of deep neural networks (DNNs) in image classificati...
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07/25/2018
Video Storytelling
Bridging vision and natural language is a longstanding goal in computer ...
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08/02/2017
