Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study

5 January 2017

Papers citing "Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study"

6 / 6 papers shown

Title
Cropper: Vision-Language Model for Image Cropping through In-Context Learning Seung Hyun Lee Junjie Ke Yinxiao Li Junfeng He Steven Hickson ... Irfan Essa Sangpil Kim Ming-Hsuan Yang Irfan Essa Feng Yang VLM 91 0 0 14 Aug 2024
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 274 14,711 0 20 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014
Learning Fine-grained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung C. Rosenberg Jingbin Wang James Philbin Bo Chen Ying Nian Wu SSL 112 1,318 0 17 Apr 2014
Recognizing Image Style Sergey Karayev Matthew Trentacoste Helen Han A. Agarwala Trevor Darrell Aaron Hertzmann Holger Winnemoeller 79 459 0 15 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 186 4,950 0 06 Oct 2013