Pix2Seq: A Language Modeling Framework for Object Detection

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Pix2Seq: A Language Modeling Framework for Object Detection

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Ting Chen | Pix2Seq: A New Language Interface for Object Detection and Beyond

London Machine Learning Meetup

Ting Chen | Pix2Seq: A New Language Interface for Object Detection and Beyond

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Abhinav Rao - Pix2Seq: A Language Modeling Framework for Object Detection (PRS 1.1)

SDtCS

Abhinav Rao - Pix2Seq: A Language Modeling Framework for Object Detection (PRS 1.1)

3 years ago - 31:40

2022/06/05 - (paper) Pix2Seq: A New Language Interface for Object Detection

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2022/06/05 - (paper) Pix2Seq: A New Language Interface for Object Detection

2 years ago - 47:22

【点论文】295 Pix2seq: A Language Modeling Framework for Object Detection

ThinkNotClearzh

【点论文】295 Pix2seq: A Language Modeling Framework for Object Detection

2 years ago - 16:51

PR-348: Pix2seq: A Language Modeling Framework for Object Detection

만끽 MaanGeek

PR-348: Pix2seq: A Language Modeling Framework for Object Detection

3 years ago - 31:13

[2022 ICLR] Pix2Seq

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[2022 ICLR] Pix2Seq

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Machine Learning Group

Machine Learning Group

In this channel we present all the virtual meetings recorded. Each video is about one session of the explanation of one topic of ...

@machinelearninggroup3450 subscribers

nanogpt for Speaker Diarization

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nanogpt for Speaker Diarization

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SDtCS

SDtCS

We are a bunch of undergrads united by one mission, to help push innovation toward a better future. And we hold a firm belief in ...

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만끽 MaanGeek

만끽 MaanGeek

@maangeek subscribers

Towards Sheet Music Information Retrieval: A Unified Approach Using Multitask Transformers @ WoRMS24

Optical Music Recognition Research

Towards Sheet Music Information Retrieval: A Unified Approach Using Multitask Transformers @ WoRMS24

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MDETR: Modulated Detection for End-to-End Multi-Modal Understanding

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[CVPR 2021] "Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval", CVPR 2021.

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Open-Vocabulary Visual Perception upon Frozen Vision and Language Models (Yin Cui, Google)

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