Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations

7 September 2022

Andrea Vedaldi

Papers citing "Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations"

32 / 82 papers shown

Title
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 972 29,810 0 26 Feb 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li-xin Yuan Yunpeng Chen Tao Wang Weihao Yu Yujun Shi Zihang Jiang Francis E. H. Tay Jiashi Feng Shuicheng Yan ViT 143 1,942 0 28 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,802 0 23 Dec 2020
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering Wentao Yuan Zhaoyang Lv Tanner Schmidt S. Lovegrove 60 92 0 22 Dec 2020
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video E. Tretschk A. Tewari Vladislav Golyanik Michael Zollhöfer Christoph Lassner Christian Theobalt 3DH 181 499 0 22 Dec 2020
Object-Centric Neural Scene Rendering Michelle Guo Alireza Fathi Jiajun Wu Thomas Funkhouser 78 104 0 15 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 100 50 0 10 Dec 2020
D-NeRF: Neural Radiance Fields for Dynamic Scenes Albert Pumarola Enric Corona Gerard Pons-Moll Francesc Moreno-Noguer 119 1,447 0 27 Nov 2020
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes Zhengqi Li Simon Niklaus Noah Snavely Oliver Wang 137 811 0 26 Nov 2020
Nerfies: Deformable Neural Radiance Fields Keunhong Park U. Sinha Jonathan T. Barron Sofien Bouaziz Dan B. Goldman S. M. Seitz Ricardo Martín Brualla 3DH 163 1,144 0 25 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 162 963 0 24 Nov 2020
Neural Scene Graphs for Dynamic Scenes Julian Ost Fahim Mannan Nils Thuerey Julian Knodt Felix Heide GNN OCL AI4CE 93 303 0 20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 673 41,430 0 22 Oct 2020
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 165 1,053 0 23 Oct 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 169 1,282 0 04 Jun 2019
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines B. Mildenhall Pratul P. Srinivasan Rodrigo Ortiz Cayon N. Kalantari R. Ramamoorthi Ren Ng Abhishek Kar 80 489 0 02 May 2019
The VIA Annotation Software for Images, Audio and Video Abhishek Dutta Andrew Zisserman 77 867 0 24 Apr 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 74 1,423 0 10 Apr 2019
A Comprehensive Overhaul of Feature Distillation Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak J. Choi 86 584 0 03 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 133 3,705 0 16 Jan 2019
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset Dima Damen Hazel Doughty G. Farinella Sanja Fidler Antonino Furnari ... Davide Moltisanti Jonathan Munro Toby Perrett Will Price Michael Wray EgoV 133 1,038 0 08 Apr 2018
Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas 63 412 0 28 Mar 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 130 3,166 0 29 Nov 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 147 2,586 0 12 Dec 2016
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks J. McCormac Ankur Handa Andrew J. Davison Stefan Leutenegger 3DPC 59 557 0 16 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,174 0 13 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 267 18,267 0 02 Jun 2016
Amodal Instance Segmentation Ke Li Jitendra Malik ISeg 42 152 0 27 Apr 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,733 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,312 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 319 3,898 0 19 Dec 2014
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 1.7K 39,595 0 01 Sep 2014