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Towards In-context Scene Understanding
v1v2 (latest)

Towards In-context Scene Understanding

2 June 2023
Ivana Balazevic
David Steiner
Nikhil Parthasarathy
Relja Arandjelović
Olivier J. Hénaff
ArXiv (abs)PDFHTML

Papers citing "Towards In-context Scene Understanding"

24 / 24 papers shown
Title
Object-level Self-Distillation for Vision Pretraining
Object-level Self-Distillation for Vision Pretraining
Çağlar Hızlı
Çağatay Yıldız
Pekka Marttinen
OCLVLM
52
0
0
04 Jun 2025
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
Zhong-Yu Li
Ruoyi Du
Juncheng Yan
Le Zhuo
Zhen Li
Peng Gao
Zhanyu Ma
Ming-Ming Cheng
VLM
134
7
0
10 Apr 2025
Object-Centric Pretraining via Target Encoder Bootstrapping
Object-Centric Pretraining via Target Encoder Bootstrapping
Nikola Đukić
Tim Lebailly
Tinne Tuytelaars
OCL
129
0
0
19 Mar 2025
Synthetic data enables context-aware bioacoustic sound event detection
Benjamin Hoffman
David Robinson
Marius Miron
V. Baglione
D. Canestrari
Damian Elias
Eva Trapote
Olivier Pietquin
137
0
0
01 Mar 2025
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
Florent Bartoccioni
Elias Ramzi
Victor Besnier
Shashanka Venkataramanan
Tuan-Hung Vu
...
Mickael Chen
Éloi Zablocki
Andrei Bursuc
Eduardo Valle
Matthieu Cord
VGen
181
2
0
24 Feb 2025
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective
Jinjing Zhu
Songze Li
Lin Wang
103
0
0
13 Jan 2025
Unleashing In-context Learning of Autoregressive Models for Few-shot
  Image Manipulation
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
Bolin Lai
F. Xu
Miao Liu
Xiaoliang Dai
Nikhil Mehta
...
Zeyi Huang
James M. Rehg
Sangmin Lee
Ning Zhang
Tong Xiao
138
3
0
02 Dec 2024
ROOT: VLM based System for Indoor Scene Understanding and Beyond
ROOT: VLM based System for Indoor Scene Understanding and Beyond
Yonghui Wang
Shi-Yong Chen
Zhenxing Zhou
Siyi Li
Haoran Li
Wengang Zhou
Haoyang Li
VLM
147
3
0
24 Nov 2024
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
Thomas Stegmüller
Tim Lebailly
Nikola Dukic
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
VLM
109
1
0
23 Jun 2024
Adapting Large Multimodal Models to Distribution Shifts: The Role of
  In-Context Learning
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning
Guanglin Zhou
Zhongyi Han
Shiming Chen
Erdun Gao
Liming Zhu
Salman Khan
Xin Gao
Lina Yao
VLM
103
4
0
20 May 2024
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually
  Expanding Large Vocabularies
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies
Zhongrui Gui
Shuyang Sun
Runjia Li
Jianhao Yuan
Zhaochong An
Karsten Roth
Ameya Prabhu
Philip Torr
VLMCLL
81
7
0
15 Apr 2024
Explore In-Context Segmentation via Latent Diffusion Models
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang
Xiangtai Li
Henghui Ding
Lu Qi
Jiangning Zhang
Yunhai Tong
Chen Change Loy
Shuicheng Yan
DiffM
158
7
0
14 Mar 2024
A Probabilistic Model behind Self-Supervised Learning
A Probabilistic Model behind Self-Supervised Learning
Alice Bizeul
Bernhard Schölkopf
Carl Allen
SSL
81
2
0
02 Feb 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Marianne Rakic
Hallee E. Wong
Jose Javier Gonzalez Ortiz
Beth Cimini
John Guttag
Adrian V. Dalca
94
12
0
24 Jan 2024
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning
  Capabilities
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Boyuan Chen
Zhuo Xu
Sean Kirmani
Brian Ichter
Danny Driess
Pete Florence
Dorsa Sadigh
Leonidas Guibas
Fei Xia
LRMReLM
98
270
0
22 Jan 2024
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes
  Interactively
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
Haobo Yuan
Xiangtai Li
Chong Zhou
Yining Li
Kai Chen
Chen Change Loy
VLM
118
51
0
05 Jan 2024
Towards More Unified In-context Visual Understanding
Towards More Unified In-context Visual Understanding
Dianmo Sheng
DongDong Chen
Zhentao Tan
Qiankun Liu
Qi Chu
Jianmin Bao
Tao Gong
Bin Liu
Shengwei Xu
Nenghai Yu
MLLMVLM
88
10
0
05 Dec 2023
SEGIC: Unleashing the Emergent Correspondence for In-Context
  Segmentation
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation
Lingchen Meng
Shiyi Lan
Hengduo Li
Jose M. Alvarez
Zuxuan Wu
Yu-Gang Jiang
VLMISegMLLM
79
9
0
24 Nov 2023
Context-Aware Meta-Learning
Context-Aware Meta-Learning
Christopher Fifty
Dennis Duan
Ronald G. Junkins
Ehsan Amid
Jurij Leskovec
Christopher Ré
Sebastian Thrun
LRMVLMMLLM
86
12
0
17 Oct 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level
  Bootstrapping
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
127
8
0
11 Oct 2023
Time Does Tell: Self-Supervised Time-Tuning of Dense Image
  Representations
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
Mohammadreza Salehi
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
VOS
81
21
0
22 Aug 2023
UniverSeg: Universal Medical Image Segmentation
UniverSeg: Universal Medical Image Segmentation
V. Butoi
Jose Javier Gonzalez Ortiz
Tianyu Ma
M. Sabuncu
John Guttag
Adrian Dalca
92
88
0
12 Apr 2023
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
352
4,113
0
17 Jun 2020
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
466
3,758
0
28 Feb 2017
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