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Causal reasoning meets visual representation learning: A prospective study
Visual representation learning is ubiquitous in various real-world applications, including
visual comprehension, video understanding, multi-modal analysis, human-computer …
visual comprehension, video understanding, multi-modal analysis, human-computer …
[HTML][HTML] GPT understands, too
Prompting a pretrained language model with natural language patterns has been proved
effective for natural language understanding (NLU). However, our preliminary study reveals …
effective for natural language understanding (NLU). However, our preliminary study reveals …
Causal machine learning: A survey and open problems
Causal intervention for weakly-supervised semantic segmentation
We present a causal inference framework to improve Weakly-Supervised Semantic
Segmentation (WSSS). Specifically, we aim to generate better pixel-level pseudo-masks by …
Segmentation (WSSS). Specifically, we aim to generate better pixel-level pseudo-masks by …
Cross-modal causal relational reasoning for event-level visual question answering
Existing visual question answering methods often suffer from cross-modal spurious
correlations and oversimplified event-level reasoning processes that fail to capture event …
correlations and oversimplified event-level reasoning processes that fail to capture event …