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Found 3 papers, 2 papers with code
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
In light of the advancements in current multi-modal large language models, we explore their effectiveness in counterfactual reasoning.
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
The experimental results demonstrate the importance of group equivariant algorithms for correspondence matching on various sim(2) transformation conditions.
XCon: Learning with Experts for Fine-grained Category Discovery
We address the problem of generalized category discovery (GCD) in this paper, i. e. clustering the unlabeled images leveraging the information from a set of seen classes, where the unlabeled images could contain both seen classes and unseen classes.
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