Accepted Papers
Accepted extended abstracts for FGVC9 can be accessed below.
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim (NAVER AI Lab), Jung-Woo Ha (NAVER CLOVA AI Lab)
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae Won Cho (KAIST), Dong-Jin Kim (UC Berkeley), Yunjae Jung (KAIST), In So Kweon (KAIST)
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition
Mei Chee Leong (I2R A*STAR), Haosong Zhang (Nanyang Technological University), Hui Li Tan (Institute for Infocomm Research), Liyuan Li (Institute for Infocomm Research), Joo-Hwee Lim (Institute for Infocomm Research)
SwinTransFuse: Fusing Swin and Multiscale Transformers for Fine-grained Image Recognition and Retrieval
Xu Ouyang (Illinois Institute of Technology), Tao Zhou (Amazon Inc.), Rene Vidal (Amazon Inc.), Arnab Dhua (Amazon Inc.)
"This is my unicorn Fluffy": Personalizing frozen vision-language representations
Niv Cohen (The Hebrew University of Jerusalem), Rinon Gal (Tel Aviv University), Eli Meirom (NVIDIA Research), Gal Chechik (NVIDIA), Yuval Atzmon (NVIDIA Research)
Fine-grained Few-shot Recognition by Deep Object Parsing
Pengkai Zhu (Amazon Web Services), Ruizhao Zhu (Boston University), Samarth Mishra (Boston University), Venkatesh Saligrama (Boston University)
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift
Amitangshu Mukherjee (Purdue University), Isha Garg (Purdue University), Kaushik Roy (Purdue Uniiversity)
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps
Dimitri Korsch (Computer Vision Group Friedrich-Schiller-University Jena), Paul Bodesheim (Computer Vision Group Friedrich Schiller University Jena Germany), Gunnar Brehm (Phyletisches Museum Friedrich Schiller University Jena), Joachim Denzler (Computer Vision Group Friedrich Schiller University Jena Germany)
On Fine-Grained Micro-Plastics classification
Aneesh Rangnekar (Rochester Institute of Technology), Crystal Hong (Rochester Institute of Technology), Chelsea Rochman (University of Toronto), Matthew J Hoffman (Rochester Institute of Technology)
FathomNet: a dataset and interface for deep sea imagery
Eric Orenstein (Monterey Bay Aquarium Research Institute), Kevin Barnard (Monterey Bay Aquarium Research Institute), Lonny Lundsten (Monterey Bay Aquarium Research Institute), Giovanna Sainz (Monterey Bay Aquarium Research Institute), Brian Schlining (Monterey Bay Aquarium Research Institute), Benjamin Woodward (CVision AI), Kakani Katija (Monterey Bay Aquarium Research Institute)
CONSENT: Context Sensitive Transformer for Bold Words Classification
Ionut C Sandu (Amazon), Daniel Voinea (Amazon), Alin-Ionut Popa (Amazon)