Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2404.14657
Cited By
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation
23 April 2024
Abhishek Aich
Yumin Suh
S. Schulter
Manmohan Chandraker
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation"
4 / 4 papers shown
Title
The revenge of BiSeNet: Efficient Multi-Task Image Segmentation
Gabriele Rosi
Claudia Cuttano
Niccolò Cavagnero
Giuseppe Averta
Fabio Cermelli
SSeg
49
1
0
15 Apr 2024
Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR
Feng Li
Ailing Zeng
Siyi Liu
Hao Zhang
Hongyang Li
Lei Zhang
L. Ni
ViT
29
61
0
13 Mar 2023
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
173
3,480
0
20 Aug 2019
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1