The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation

15 April 2023

Papers citing "The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation"

8 / 8 papers shown

Title
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training Adrian Bulat Ricardo Guerrero Brais Martínez Georgios Tzimiropoulos 34 30 0 10 Oct 2022
iFS-RCNN: An Incremental Few-shot Instance Segmenter Khoi Duc Minh Nguyen S. Todorovic ISeg CLL 40 23 0 31 May 2022
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 50 109 0 04 May 2021
Camouflaged Object Segmentation with Distraction Mining Haiyang Mei Ge-Peng Ji Ziqi Wei Xin Yang Xiaopeng Wei Deng-Ping Fan 114 311 0 21 Apr 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu Fangyi Chen Uzair Ahmed Zhiqiang Shen Marios Savvides ObjD 67 177 0 02 Mar 2021
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 135 190 0 24 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 75 535 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 151 440 0 28 Sep 2019