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VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
Hence, we consider asking a VLM to provide the scientific name of the organism shown in a given image. There are two types of questions that we consider for this task. First, we consider open-ended questions, where we do not provide any answer choices (or options) to the VLM in the input prompt.
On Causal Discovery in the Presence of Deterministic Relations
In this paper, we find, supported by both theoretical analysis and empirical evidence, that score-based methods with exact search can naturally address the issues of deterministic relations under rather mild assumptions. Nonetheless, exact score-based methods can be computationally expensive.
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
Adapting to dynamic data distributions is a practical yet challenging task.
VastTrack: Vast Category Visual Object Tracking
V astTrack consists of a few attractive properties: (1) V ast Object Category . In particular, it covers targets from 2,115 categories, significantly surpassing object classes of existing popular benchmarks ( e.g ., GOT -10k with 563 classes and LaSOT with 70 categories). Through providing such vast object classes, we expect to learn more general object tracking.
Average gradient outer product as a mechanism for deep neural collapse
This assumes that DNNs are infinitely expressive and, thus, optimizes for the feature vectors in the last layer directly.
