Learning to Predict Visual Attributes in the Wild

Learning to Predict Visual Attributes in the Wild

17 June 2021

Abhinav Shrivastava

Papers citing "Learning to Predict Visual Attributes in the Wild"

18 / 18 papers shown

Title
Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval Junyang Chen Hanjiang Lai VLM 64 15 0 13 Nov 2023
VinVL: Revisiting Visual Representations in Vision-Language Models Pengchuan Zhang Xiujun Li Xiaowei Hu Jianwei Yang Lei Zhang Lijuan Wang Yejin Choi Jianfeng Gao ObjD VLM 296 157 0 02 Jan 2021
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law Damien Teney Kushal Kafle Robik Shrestha Ehsan Abbasnejad Christopher Kanan Anton Van Den Hengel OODD OOD 50 146 0 19 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 120 4,505 0 23 Apr 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 115 12,007 0 13 Nov 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation Agrim Gupta Piotr Dollár Ross B. Girshick ISeg VLM 93 1,352 0 08 Aug 2019
The iMaterialist Fashion Attribute Dataset Sheng Guo Weilin Huang Xiao Zhang Prasanna Srikhanta Huayu Chen Yuan Li Matthew R. Scott Hartwig Adam Serge J. Belongie VLM 35 77 0 13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 165 1,463 0 03 Jun 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning Xin Wang Feng Yu Ruth Wang Trevor Darrell Joseph E. Gonzalez 53 104 0 11 Apr 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 61 998 0 07 Apr 2019
Deep Imbalanced Attribute Classification using Visual Attention Aggregation N. Sarafianos Xiang Xu I. Kakadiaris 52 214 0 10 Jul 2018
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 102 4,201 0 25 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 110 2,386 0 10 Jul 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly Yongqin Xian Christoph H. Lampert Bernt Schiele Zeynep Akata VLM 123 1,554 0 03 Jul 2017
Adversarial Feature Learning Jiasen Lu Philipp Krahenbuhl Trevor Darrell GAN 88 1,608 0 31 May 2016
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 286 10,034 0 10 Feb 2015
Deep Convolutional Ranking for Multilabel Image Annotation Yunchao Gong Yangqing Jia Thomas Leung Alexander Toshev Sergey Ioffe VLM 82 432 0 17 Dec 2013
Large-scale Multi-label Learning with Missing Labels Hsiang-Fu Yu Prateek Jain Purushottam Kar Inderjit S. Dhillon MQ 72 492 0 18 Jul 2013