Benchmarking Representation Learning for Natural World Image Collections

30 March 2021

Papers citing "Benchmarking Representation Learning for Natural World Image Collections"

29 / 29 papers shown

Title
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity Zahra Gharaee Scott C. Lowe ZeMing Gong Pablo Millán Arias Nicholas Pellegrino ... Lila Kari Dirk Steinke Graham W. Taylor Paul Fieguth Angel X. Chang 44 7 0 28 Jan 2025
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks Jiannan Wu Muyan Zhong Sen Xing Zeqiang Lai Zhaoyang Liu ... Lewei Lu Tong Lu Ping Luo Yu Qiao Jifeng Dai MLLM VLM LRM 94 48 0 03 Jan 2025
FungiTastic: A multi-modal dataset and benchmark for image categorization Lukás Picek Klara Janouskova Milan Šulc Jirí Matas 77 1 0 24 Aug 2024
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images Kazi Sajeed Mehrab M. Maruf Arka Daw Harish Babu Manogaran Abhilash Neog ... Paula Mabee Wasila Dahdul Anuj Karpatne Wasila M Dahdul Anuj Karpatne 33 4 0 10 Jul 2024
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 46 3 0 04 Jun 2024
Leveraging Habitat Information for Fine-grained Bird Identification Tin Nguyen Anh Nguyen Anh Nguyen VLM 36 0 0 22 Dec 2023
Meta Co-Training: Two Views are Better than One Jay C. Rothenberger Dimitrios I. Diochnos VLM 25 2 0 29 Nov 2023
Learning to detect an animal sound from five examples I. Nolasco Shubhr Singh V. Morfi Vincent Lostanlen A. Strandburg-Peshkin ... Michael G. Emmerson E. Versace E. Grout Haohe Liu D. Stowell 38 37 0 22 May 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 78 3,011 0 14 Apr 2023
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data Ahmet Iscen Alireza Fathi Cordelia Schmid VLM 3DV 28 25 0 11 Apr 2023
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Explored An Effective Methodology for Fine-Grained Snake Recognition Yong Huang Aderon Huang Wei-wei Zhu Yanming Fang Jinghua Feng 12 1 0 24 Jul 2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset Grant Van Horn Rui Qian Kimberly Wilber Hartwig Adam Oisin Mac Aodha Serge J. Belongie 19 10 0 21 Jul 2022
On Label Granularity and Object Localization Elijah Cole Kimberly Wilber Grant Van Horn Xuan S. Yang Marco Fornoni Pietro Perona Serge J. Belongie Andrew G. Howard Oisin Mac Aodha WSOL 26 13 0 20 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 11 6 0 18 Jul 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning M. Gwilliam Abhinav Shrivastava SSL 74 19 1 16 Jun 2022
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations Teodor Chiaburu F. Biessmann Frank Haußer 22 2 0 15 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 27 37 0 02 Jun 2022
WaveMix: A Resource-efficient Neural Network for Image Analysis Pranav Jeevan Kavitha Viswanathan S. AnanduA A. Sethi 13 19 0 28 May 2022
Neural Basis Models for Interpretability Filip Radenovic Abhimanyu Dubey D. Mahajan FAtt 19 46 0 27 May 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 25 7 0 16 Mar 2022
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information Lingfeng Yang Xiang Li Renjie Song Borui Zhao J. Tao Shihao Zhou Jiajun Liang Jian Yang 24 37 0 07 Mar 2022
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study A. Karthik Mike Wu Noah D. Goodman Alex Tamkin SSL 24 5 0 10 Dec 2021
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 66 279 0 11 Nov 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson H. Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 27 268 0 18 Oct 2021
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification Peter Kulits J. Wall A. Bedetti M. Henley Sara Beery 22 20 0 29 Jun 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 23 45 0 25 Mar 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,367 0 09 Mar 2020
Fine-Grained Car Detection for Visual Census Estimation Timnit Gebru J. Krause Yilun Wang Duyun Chen Jia Deng Li Fei-Fei 60 116 0 07 Sep 2017