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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Implementation of on-site velocity boundary conditions for D3Q19 lattice Boltzmann simulations
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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
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Rethinking the Inception Architecture for Computer Vision
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Deep Residual Learning for Image Recognition
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Xiangyu Zhang
Shaoqing Ren
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Generative Adversarial Text to Image Synthesis
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Lajanugen Logeswaran
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Aggregated Residual Transformations for Deep Neural Networks
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2017
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Saining Xie
Ross Girshick
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Proximal Policy Optimization Algorithms
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2017
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Squeeze-and-Excitation Networks
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2018
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Li Shen
Gang Sun
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CBAM: Convolutional Block Attention Module
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2018
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Unified Perceptual Parsing for Scene Understanding
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2018
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Tete Xiao
Yingcheng Liu
Bolei Zhou
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Res2Net: A New Multi-Scale Backbone Architecture
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2019
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Ming‐Ming Cheng
Kai Zhao
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Ming–Hsuan Yang
Philip H. S. Torr
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Microsoft COCO: Common Objects in Context
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Michael Maire
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Non-local Neural Networks
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2018
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Ross Girshick
Abhinav Gupta
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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2018
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Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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2018
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Mark Sandler
Andrew Howard
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Focal Loss for Dense Object Detection
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2017
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
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Cascade R-CNN: Delving Into High Quality Object Detection
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2018
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Zhaowei Cai
Nuno Vasconcelos
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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2017
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Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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2019
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Nils Reimers
Iryna Gurevych
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Fine-Tuning Language Models from Human Preferences
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2019
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Daniel M. Ziegler
Nisan Stiennon
Jeffrey Wu
T. B. Brown
Alec Radford
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Designing Network Design Spaces
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2020
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Ilija Radosavovic
Raj Prateek Kosaraju
Ross Girshick
Kaiming He
Piotr Dollár
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Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
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2020
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Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
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Denoising Diffusion Probabilistic Models
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2020
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Jonathan Ho
Ajay N. Jain
Pieter Abbeel
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Zero-Shot Text-to-Image Generation
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2021
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Aditya Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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2021
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Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lü
Ping Luo
Ling Shao
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1
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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2021
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Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
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Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
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2021
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Pengchuan Zhang
Xiyang Dai
Jianwei Yang
Bin Xiao
Lu Yuan
Lei Zhang
Jianfeng Gao
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1
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CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
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2021
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Chun-Fu Richard Chen
Quanfu Fan
Rameswar Panda
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1
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Twins: Revisiting the Design of Spatial Attention in Vision Transformers
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2021
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Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin Wei
Huaxia Xia
Chunhua Shen
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1
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Learning Transferable Visual Models From Natural Language Supervision
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2021
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Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya Ramesh
Gabriel Goh
Sandhini Agarwal
Girish Sastry
Amanda Askell
Pamela Mishkin
Jack Clark
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1
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Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
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2021
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Zilong Huang
Youcheng Ben
Guozhong Luo
Pei Cheng
Gang Yu
Bin Fu
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DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
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2021
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Yongming Rao
Wenliang Zhao
Benlin Liu
Jiwen Lu
Jie Zhou
Cho‐Jui Hsieh
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LoRA: Low-Rank Adaptation of Large Language Models
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2021
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J. Edward Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Weizhu Chen
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1
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CoAtNet: Marrying Convolution and Attention for All Data Sizes
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2021
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Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
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Bottleneck Transformers for Visual Recognition
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2021
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Aravind Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
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2021
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Peize Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
Wei Zhan
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
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1
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PVT v2: Improved baselines with Pyramid Vision Transformer
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2022
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Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lü
Ping Luo
Ling Shao
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1
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Focal Self-attention for Local-Global Interactions in Vision Transformers
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2021
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Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Xiyang Dai
Bin Xiao
Lu Yuan
Jianfeng Gao
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1
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Mobile-Former: Bridging MobileNet and Transformer
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2022
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Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
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1
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CvT: Introducing Convolutions to Vision Transformers
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2021
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Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
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Co-Scale Conv-Attentional Image Transformers
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2021
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Weijian Xu
Yifan Xu
Tyler A. Chang
Zhuowen Tu
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1
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Hierarchical Text-Conditional Image Generation with CLIP Latents
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2022
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Aditya Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
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BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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2022
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Junnan Li
Dongxu Li
Caiming Xiong
Steven C. H. Hoi
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Focal Modulation Networks
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2022
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Jianwei Yang
Chunyuan Li
Jianfeng Gao
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1
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Training language models to follow instructions with human feedback
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2022
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Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
Pamela Mishkin
Chong Zhang
Sandhini Agarwal
Katarina Slama
Alex Ray
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1
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
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2022
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Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
Emily Denton
Seyed Kamyar Seyed Ghasemipour
Burcu Karagol Ayan
S. Sara Mahdavi
Rapha Gontijo Lopes
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1
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EfficientFormer: Vision Transformers at MobileNet Speed
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2022
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Yanyu Li
Geng Yuan
Yang Wen
Eric Hu
Georgios Evangelidis
Sergey Tulyakov
Yanzhi Wang
Jian Ren
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1
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Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios
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2022
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Jiashi Li
Xin Xia
Wei Li
Huixia Li
Xing Wang
Xuefeng Xiao
Rui Wang
Min Zheng
Xin Pan
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1
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HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
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2022
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Yongming Rao
Wenliang Zhao
Yansong Tang
Jie Zhou
Ser-Nam Lim
Jiwen Lu
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1
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