Learning to count with deep object features

Learning to count with deep object features

29 May 2015

Papers citing "Learning to count with deep object features"

10 / 10 papers shown

Title
Text encoders bottleneck compositionality in contrastive vision-language models Amita Kamath Jack Hessel Kai-Wei Chang CoGe CLIP VLM 35 19 0 24 May 2023
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection D. Gaddam Jean Lahoud Fahad Shahbaz Khan Rao Muhammad Anwer Hisham Cholakkal 3DPC 29 0 0 13 Sep 2022
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks Letitia Parcalabescu Albert Gatt Anette Frank Iacer Calixto LRM 33 48 0 22 Dec 2020
Future semantic segmentation of time-lapsed videos with large temporal displacement Talha Ahmad Siddiqui Samarth Bharadwaj 16 0 0 27 Dec 2018
Textually Enriched Neural Module Networks for Visual Question Answering Khyathi Raghavi Chandu Mary Arpita Pyreddy Matthieu Felix N. Joshi 24 6 0 23 Sep 2018
Neural Arithmetic Logic Units Andrew Trask Felix Hill Scott E. Reed Jack W. Rae Chris Dyer Phil Blunsom NAI 27 204 0 01 Aug 2018
Improving Object Counting with Heatmap Regulation Shubhra Aich Ian Stavness 27 33 0 14 Mar 2018
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation Fabian-Robert Stöter Soumitro Chakrabarty B. Edler Emanuel Habets BDL 31 38 0 12 Dec 2017
Count-ception: Counting by Fully Convolutional Redundant Counting Joseph Paul Cohen G. Boucher C. A. Glastonbury Henry Z. Lo Yoshua Bengio 25 156 0 25 Mar 2017
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning T. Nathan Mundhenk G. Konjevod W. Sakla K. Boakye 35 333 0 14 Sep 2016