Frustratingly Simple Few-Shot Object Detection

16 March 2020

Papers citing "Frustratingly Simple Few-Shot Object Detection"

21 / 21 papers shown

Title
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation Bin-Bin Gao Xiaochen Chen Z. Huang Congchong Nie Jun Liu Jinxiang Lai Guannan Jiang Xi-Zhao Wang Chengjie Wang 100 28 0 20 May 2025
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection Chiara Cappellino Gianluca Mancusi Matteo Mosconi Angelo Porrello Simone Calderara Rita Cucchiara ObjD VLM 118 0 0 12 Mar 2025
Teaching VLMs to Localize Specific Objects from In-context Examples Sivan Doveh Nimrod Shabtay Wei Lin Eli Schwartz Hilde Kuehne ... Leonid Karlinsky James Glass Assaf Arbelle S. Ullman Muhammad Jehanzeb Mirza VLM 139 1 0 20 Nov 2024
Cross-domain Multi-modal Few-shot Object Detection via Rich Text Zeyu Shangguan Daniel Seita Mohammad Rostami ObjD 119 1 0 24 Mar 2024
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features A. Osokin Denis Sumin V. Lomakin ObjD 107 58 0 15 Mar 2020
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 67 578 0 06 Sep 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation Agrim Gupta Piotr Dollár Ross B. Girshick ISeg VLM 90 1,352 0 08 Aug 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
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 93 1,756 0 08 Apr 2019
Few-shot Object Detection via Feature Reweighting Bingyi Kang Zhuang Liu Xin Wang Feng Yu Jiashi Feng Trevor Darrell ObjD OffRL 71 694 0 05 Dec 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 117 1,366 0 16 Jul 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 51 1,125 0 25 Apr 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 203 2,226 0 08 Mar 2018
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 218 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 763 11,793 0 09 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 418 21,951 0 09 Dec 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 295 7,299 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 412 61,900 0 04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 963 99,991 0 04 Sep 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 283 43,290 0 01 May 2014