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Towards A Unified Neural Architecture for Visual Recognition and
  Reasoning

Towards A Unified Neural Architecture for Visual Recognition and Reasoning

10 November 2023
Calvin Luo
Boqing Gong
Ting Chen
Chen Sun
    OCL
    ObjD
ArXivPDFHTML

Papers citing "Towards A Unified Neural Architecture for Visual Recognition and Reasoning"

6 / 6 papers shown
Title
Pix2seq: A Language Modeling Framework for Object Detection
Pix2seq: A Language Modeling Framework for Object Detection
Ting-Li Chen
Saurabh Saxena
Lala Li
David J. Fleet
Geoffrey E. Hinton
MLLM
ViT
VLM
233
341
0
22 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
231
573
0
22 Apr 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
252
0
09 Dec 2020
Learning Object Permanence from Video
Learning Object Permanence from Video
Aviv Shamsian
Ofri Kleinfeld
Amir Globerson
Gal Chechik
SSL
29
31
0
23 Mar 2020
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