Search Results for author:
Found 8 papers, 1 papers with code
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
In this paper, we present a new DA dataset called DAPlankton which consists of phytoplankton images obtained with different instruments.
Combining feature aggregation and geometric similarity for re-identification of patterned animals
Image-based re-identification of animal individuals allows gathering of information such as migration patterns of the animals over time.
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
However, important challenges remain unsolved: 1) the domain shift between the datasets hindering the development of a general plankton recognition system that would work across different imaging instruments, 2) the difficulty to identify and process the images of previously unseen classes, and 3) the uncertainty in expert annotations that affects the training of the machine learning models for recognition.
Towards Phytoplankton Parasite Detection Using Autoencoders
Thus, we propose an unsupervised anomaly detection system based on the similarity of the original and autoencoder-reconstructed samples.
NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation
We propose a method for Saimaa ringed seal (Pusa hispida saimensis) re-identification.
SealID: Saimaa ringed seal re-identification dataset
The Saimaa ringed seal (Pusa hispida saimensis) is an endangered subspecies only found in the Lake Saimaa, Finland, and is one of the few existing freshwater seal species.
EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching
In this paper, pelage pattern matching is considered to solve the individual re-identification of the Saimaa ringed seals.
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process
This paper introduces a novel method for segmentation of clustered partially overlapping convex objects in silhouette images.
