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Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization

10 March 2025
Mihcael Green
Matan Levy
Issar Tzachor
Dvir Samuel
N. Darshan
Rami Ben-Ari
ArXiv (abs)PDFHTML

Papers citing "Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization"

19 / 19 papers shown
Title
CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
Reza Abbasi
Ali Nazari
Aminreza Sefid
Mohammadali Banayeeanzade
M. Rohban
M. Baghshah
VLM
136
2
0
27 Feb 2025
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs
Jiarui Zhang
Mahyar Khayatkhoei
P. Chhikara
Filip Ilievski
LRM
100
16
0
24 Feb 2025
Teaching VLMs to Localize Specific Objects from In-context Examples
Teaching VLMs to Localize Specific Objects from In-context Examples
Sivan Doveh
Nimrod Shabtay
Wei Lin
Eli Schwartz
Hilde Kuehne
...
Leonid Karlinsky
James Glass
Assaf Arbelle
S. Ullman
Muhammad Jehanzeb Mirza
VLM
166
1
0
20 Nov 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
Walid Bousselham
Angie Boggust
Sofian Chaybouti
Hendrik Strobelt
Hilde Kuehne
141
13
0
04 Apr 2024
Scaling Open-Vocabulary Object Detection
Scaling Open-Vocabulary Object Detection
Matthias Minderer
A. Gritsenko
N. Houlsby
VLMObjD
98
201
0
16 Jun 2023
Correlation Verification for Image Retrieval
Correlation Verification for Image Retrieval
Seongwon Lee
Hongje Seong
Suhyeon Lee
Euntai Kim
83
51
0
04 Apr 2022
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Yongming Rao
Wenliang Zhao
Guangyi Chen
Yansong Tang
Zheng Zhu
Guan Huang
Jie Zhou
Jiwen Lu
VLMCLIP
214
581
0
02 Dec 2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local
  and Global Features
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Min Yang
Dongliang He
M. Fan
Baorong Shi
Xuetong Xue
Fu Li
Errui Ding
Jizhou Huang
105
98
0
06 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
502
10,526
0
17 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
996
29,871
0
26 Feb 2021
Products-10K: A Large-scale Product Recognition Dataset
Products-10K: A Large-scale Product Recognition Dataset
Yalong Bai
Yuxiang Chen
Wei Yu
Linfang Wang
Wei Zhang
104
44
0
24 Aug 2020
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for
  Instance-Level Recognition and Retrieval
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
Tobias Weyand
A. Araújo
Bingyi Cao
Jack Sim
80
371
0
03 Apr 2020
Learning with Average Precision: Training Image Retrieval with a
  Listwise Loss
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Jérôme Revaud
Jon Almazán
Rafael Sampaio de Rezende
César Roberto de Souza
VLM
70
375
0
18 Jun 2019
Divide and Conquer the Embedding Space for Metric Learning
Divide and Conquer the Embedding Space for Metric Learning
A. Sanakoyeu
Vadim Tschernezki
U. Büchler
Bjorn Ommer
SSL
83
107
0
14 Jun 2019
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Marvin Teichmann
A. Araújo
Menglong Zhu
Jack Sim
ObjD
61
117
0
04 Dec 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenovic
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
60
381
0
29 Mar 2018
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
84
1,307
0
03 Nov 2017
Efficient Diffusion on Region Manifolds: Recovering Small Objects with
  Compact CNN Representations
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Teddy Furon
Ondřej Chum
DiffM
67
181
0
16 Nov 2016
Visual Instance Retrieval with Deep Convolutional Networks
Visual Instance Retrieval with Deep Convolutional Networks
A. Razavian
Josephine Sullivan
S. Carlsson
A. Maki
88
366
0
20 Dec 2014
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