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CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale

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

12 / 12 papers shown
Title
An Empirical Study into Clustering of Unseen Datasets with
  Self-Supervised Encoders
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
29
3
0
04 Jun 2024
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
31
7
0
04 Nov 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
CLIP
VLM
119
101
0
20 Jun 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
CyCLIP: Cyclic Contrastive Language-Image Pretraining
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan A. Rossi
Vishwa Vinay
Aditya Grover
CLIP
VLM
160
131
0
28 May 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
S. Hoi
MLLM
BDL
VLM
CLIP
380
4,010
0
28 Jan 2022
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 J. Belongie
60
277
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
G. Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
179
101
0
21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
151
401
0
12 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
SyDa
BDL
30
34
0
29 Sep 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
Yin Cui
Boqing Gong
ViT
229
573
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
VLM
CLIP
293
2,875
0
11 Feb 2021
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