Africa
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
We present a novel self-supervised approach for hierarchical representation learning and segmentation of perceptual inputs in a streaming fashion.
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz
Therefore, it's important to study whether we can and also how to
Nature-Inspired Local Propagation
In the reminder of the paper we will try whenever possible to formally introduce functions by clearly stating domain and co-domain.
A Experiment on zero-shot classification
The top two rows show easy cases, while the bottom three rows present hard cases, including crowdedness, complex backgrounds, and tiny objects.
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition Wei He, Kai Han
The development of foundation vision models has pushed the general visual recognition to a high level, but cannot well address the fine-grained recognition in specialized domain such as invasive species classification. Identifying and managing invasive species has strong social and ecological value.