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Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition

Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition

24 December 2020
Shiyuan Huang
Jiawei Ma
G. Han
Shih-Fu Chang
    BDL
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Papers citing "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"

12 / 12 papers shown
Title
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with
  Heterogeneous Graph Adapter
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
Yumiao Zhao
Bo Jiang
Xiao Wang
Qin Xu
Jin Tang
VLM
28
0
0
10 Oct 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond
Towards Few-Shot Learning in the Open World: A Review and Beyond
Hui Xue
Yuexuan An
Yongchun Qin
Wenqian Li
Yixin Wu
Yongjuan Che
Pengfei Fang
Minling Zhang
OffRL
51
1
0
19 Aug 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
Yassir Bendou
G. Lioi
Bastien Pasdeloup
Lukas Mauch
G. B. Hacene
Fabien Cardinaux
Vincent Gripon
VLM
MLLM
48
0
0
31 Mar 2024
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained
  Language Models?
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
28
2
0
09 Jul 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Haoyu Wang
Guansong Pang
Peng Wang
Lei Zhang
Wei Wei
Yanning Zhang
19
12
0
24 Apr 2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot
  Object Detection
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
Jiawei Ma
Yulei Niu
Jincheng Xu
Shiyuan Huang
G. Han
Shih-Fu Chang
ObjD
19
36
0
16 Mar 2023
Open-Set Likelihood Maximization for Few-Shot Learning
Open-Set Likelihood Maximization for Few-Shot Learning
Malik Boudiaf
Etienne Bennequin
Myriam Tami
Antoine Toubhans
Pablo Piantanida
C´eline Hudelot
Ismail Ben Ayed
BDL
26
10
0
20 Jan 2023
Towards Generalized Few-Shot Open-Set Object Detection
Towards Generalized Few-Shot Open-Set Object Detection
Binyi Su
Hua Zhang
Jingzhi Li
Zhongjun Zhou
48
9
0
28 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
20
4
0
26 Sep 2022
Few-shot Open-set Recognition by Transformation Consistency
Few-shot Open-set Recognition by Transformation Consistency
Minki Jeong
Seokeon Choi
Changick Kim
46
49
0
02 Mar 2021
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
155
216
0
19 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
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