Building Flyweight FLIM-based CNNs with Adaptive Decoding for Object Detection

26 June 2023

Papers citing "Building Flyweight FLIM-based CNNs with Adaptive Decoding for Object Detection"

7 / 7 papers shown

Title
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection Matheus A. Cerqueira Flávia Sprenger B. C. Teixeira A. X. Falcão 32 10 0 19 Mar 2024
SelfReformer: Self-Refined Network with Transformer for Salient Object Detection Y. Yun Weisi Lin ViT 60 28 0 23 May 2022
A Survey of Modern Deep Learning based Object Detection Models Syed Sahil Abbas Zaidi M. S. Ansari Asra Aslam N. Kanwal M. Asghar Brian Lee VLM ObjD 67 728 0 24 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 292 3,623 0 24 Feb 2021
Instance Localization for Self-supervised Detection Pretraining Ceyuan Yang Zhirong Wu Bolei Zhou Stephen Lin ViT SSL 100 145 0 16 Feb 2021
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Xiaopeng Yan Ziliang Chen Anni Xu Xiaoxi Wang Xiaodan Liang Liang Lin ObjD 160 446 0 28 Sep 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016