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Improving Composed Image Retrieval via Contrastive Learning with Scaling
  Positives and Negatives

Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

17 April 2024
Zhangchi Feng
Richong Zhang
Zhijie Nie
ArXivPDFHTML

Papers citing "Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives"

5 / 5 papers shown
Title
From Mapping to Composing: A Two-Stage Framework for Zero-shot Composed Image Retrieval
From Mapping to Composing: A Two-Stage Framework for Zero-shot Composed Image Retrieval
Yabing Wang
Zhuotao Tian
Qingpei Guo
Zheng Qin
Sanping Zhou
Ming Yang
Le Wang
34
0
0
25 Apr 2025
A Comprehensive Survey on Composed Image Retrieval
A Comprehensive Survey on Composed Image Retrieval
Xuemeng Song
Haoqiang Lin
Haokun Wen
Bohan Hou
Mingzhu Xu
Liqiang Nie
42
1
0
19 Feb 2025
The Synergy between Data and Multi-Modal Large Language Models: A Survey
  from Co-Development Perspective
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
Zhen Qin
Daoyuan Chen
Wenhao Zhang
Liuyi Yao
Yilun Huang
Bolin Ding
Yaliang Li
Shuiguang Deng
48
5
0
11 Jul 2024
Unicom: Universal and Compact Representation Learning for Image
  Retrieval
Unicom: Universal and Compact Representation Learning for Image Retrieval
Xiang An
Jiankang Deng
Kaicheng Yang
Jaiwei Li
Ziyong Feng
Jia Guo
Jing Yang
Tongliang Liu
VLM
SSL
30
26
0
12 Apr 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
385
4,010
0
28 Jan 2022
1