Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations

25 July 2022

Papers citing "Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations"

8 / 8 papers shown

Title
Activating the Discriminability of Novel Classes for Few-shot Segmentation Dianwen Mei Wei Zhuo Jiandong Tian Guangming Lu Wenjie Pei VLM 35 0 0 02 Dec 2022
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 55 110 0 04 May 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu Fangyi Chen Uzair Ahmed Zhiqiang Shen Marios Savvides ObjD 102 178 0 02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection Aming Wu Yahong Han Linchao Zhu Yi Yang ObjD 41 84 0 01 Mar 2021
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez Feng Yu ObjD 95 544 0 16 Mar 2020
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 174 446 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 377 11,700 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014