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CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
v1v2v3v4 (latest)

CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

27 May 2024
ZeMing Gong
Austin T. Wang
Joakim Bruslund Haurum
Scott C. Lowe
Graham W. Taylor
Angel X. Chang
Angel X. Chang
ArXiv (abs)PDFHTML

Papers citing "CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale"

27 / 27 papers shown
Title
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
Sheng Zhang
Yanbo Xu
Naoto Usuyama
Hanwen Xu
J. Bagga
...
Carlo Bifulco
M. Lungren
Tristan Naumann
Sheng Wang
Hoifung Poon
LM&MAMedIm
233
233
0
10 Jan 2025
BioCLIP: A Vision Foundation Model for the Tree of Life
BioCLIP: A Vision Foundation Model for the Tree of Life
Samuel Stevens
Jiaman Wu
Matthew J Thompson
Elizabeth G Campolongo
Chan Hee Song
...
Wasila M Dahdul
Charles V. Stewart
Tanya Berger-Wolf
Wei-Lun Chao
Yu-Chuan Su
99
76
0
30 Nov 2023
BarcodeBERT: Transformers for Biodiversity Analysis
BarcodeBERT: Transformers for Biodiversity Analysis
Pablo Millán Arias
Niousha Sadjadi
Monireh Safari
ZeMing Gong
Austin T. Wang
...
Iuliia Zarubiieva
Dirk Steinke
Lila Kari
Angel X. Chang
Graham W. Taylor
121
7
0
04 Nov 2023
Towards a Visual-Language Foundation Model for Computational Pathology
Towards a Visual-Language Foundation Model for Computational Pathology
Ming Y. Lu
Bowen Chen
Drew F. K. Williamson
Richard J. Chen
Ivy Liang
...
Andrew Zhang
L. Le
Georg Gerber
Anil V. Parwani
Faisal Mahmood
VLMMedIm
108
46
0
24 Jul 2023
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect
  Dataset
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
Zahra Gharaee
ZeMing Gong
Nicholas Pellegrino
Iuliia Zarubiieva
Joakim Bruslund Haurum
...
S. Ratnasingham
D. Steinke
Angel X. Chang
Graham W. Taylor
Paul Fieguth
86
27
0
19 Jul 2023
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide
  Resolution
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Eric N. D. Nguyen
Michael Poli
Marjan Faizi
A. Thomas
Callum Birch-Sykes
...
Stefano Massaroli
Yoshua Bengio
Stefano Ermon
S. Baccus
Christopher Ré
MedIm
98
258
0
27 Jun 2023
Quilt-1M: One Million Image-Text Pairs for Histopathology
Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom O. Ikezogwo
M. S. Seyfioglu
Fatemeh Ghezloo
Dylan Stefan Chan Geva
Fatwir Sheikh Mohammed
Pavan Kumar Anand
Ranjay Krishna
Linda G. Shapiro
CLIPVLM
309
125
0
20 Jun 2023
Sigmoid Loss for Language Image Pre-Training
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai
Basil Mustafa
Alexander Kolesnikov
Lucas Beyer
CLIPVLM
265
1,200
0
27 Mar 2023
Contrastive language and vision learning of general fashion concepts
Contrastive language and vision learning of general fashion concepts
P. Chia
Giuseppe Attanasio
Federico Bianchi
Silvia Terragni
A. Magalhães
Diogo Gonçalves
C. Greco
Jacopo Tagliabue
CLIP
110
44
0
08 Apr 2022
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
Guosheng Lin
MLLMBDLVLMCLIP
557
4,421
0
28 Jan 2022
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval
Yue Ruan
Han-Hung Lee
Yiming Zhang
Ke Zhang
Angel X. Chang
88
21
0
19 Jan 2022
Grounded Language-Image Pre-training
Grounded Language-Image Pre-training
Liunian Harold Li
Pengchuan Zhang
Haotian Zhang
Jianwei Yang
Chunyuan Li
...
Lu Yuan
Lei Zhang
Lei Li
Kai-Wei Chang
Jianfeng Gao
ObjDVLM
148
1,069
0
07 Dec 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge Belongie
137
291
0
11 Nov 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLMCLIP
308
104
0
21 Oct 2021
Supervision Exists Everywhere: A Data Efficient Contrastive
  Language-Image Pre-training Paradigm
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Yangguang Li
Feng Liang
Lichen Zhao
Yufeng Cui
Wanli Ouyang
Jing Shao
F. Yu
Junjie Yan
VLMCLIP
162
458
0
11 Oct 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information
Fine-Grained Zero-Shot Learning with DNA as Side Information
Sarkhan Badirli
Zeynep Akata
G. Mohler
Christel Picard
M. M. Dundar
SyDaBDL
120
36
0
29 Sep 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
88
125
0
12 May 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Huayu Chen
Boqing Gong
ViT
335
590
0
22 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLMCLIP
480
3,906
0
11 Feb 2021
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
89
68
0
25 Nov 2020
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
150
768
0
02 Oct 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSLDRL
96
303
0
13 Aug 2020
Self-Supervised MultiModal Versatile Networks
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac
Adrià Recasens
R. Schneider
Relja Arandjelović
Jason Ramapuram
J. Fauw
Lucas Smaira
Sander Dieleman
Andrew Zisserman
SSL
154
375
0
29 Jun 2020
Presence-Only Geographical Priors for Fine-Grained Image Classification
Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha
Elijah Cole
Pietro Perona
100
167
0
12 Jun 2019
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
Andrew Owens
Alexei A. Efros
SSL
100
754
0
10 Apr 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
214
9,492
0
09 Feb 2018
Fine-graind Image Classification via Combining Vision and Language
Fine-graind Image Classification via Combining Vision and Language
Xiangteng He
Yuxin Peng
VLM
81
165
0
10 Apr 2017
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