ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.06784
  4. Cited By
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional
  Zero-Shot Learning

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

13 May 2022
Shyamgopal Karthik
Massimiliano Mancini
Zeynep Akata
    CoGe
ArXivPDFHTML

Papers citing "KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning"

8 / 8 papers shown
Title
Visual Adaptive Prompting for Compositional Zero-Shot Learning
Visual Adaptive Prompting for Compositional Zero-Shot Learning
Kyle Stein
A. Mahyari
Guillermo A. Francia
Eman El-Sheikh
VLM
CoGe
138
1
0
27 Feb 2025
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Hongyu Qu
Jianan Wei
Xiangbo Shu
Wenguan Wang
VLM
43
1
0
10 Feb 2025
MAC: A Benchmark for Multiple Attributes Compositional Zero-Shot Learning
MAC: A Benchmark for Multiple Attributes Compositional Zero-Shot Learning
Shuo Xu
Sai Wang
Xinyue Hu
Yutian Lin
Bo Du
Yu Wu
CoGe
46
0
0
18 Jun 2024
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
Do Huu Dat
Po Yuan Mao
Tien Hoang Nguyen
Wray L. Buntine
Bennamoun
46
1
0
23 Nov 2023
Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot
  Learning
Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
Siteng Huang
Biao Gong
Yutong Feng
Min Zhang
Yiliang Lv
Donglin Wang
CoGe
19
10
0
27 Mar 2023
A Probabilistic-Logic based Commonsense Representation Framework for
  Modelling Inferences with Multiple Antecedents and Varying Likelihoods
A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods
Shantanu Jaiswal
Liu Yan
Dongkyu Choi
Kenneth Kwok
22
0
0
30 Nov 2022
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional
  Zero-Shot Learning
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
Xiaocheng Lu
Ziming Liu
Song Guo
Jingcai Guo
CoGe
10
30
0
19 Nov 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
209
508
0
15 Jan 2021
1