Visual Abductive Reasoning
4 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Visual Abductive Reasoning
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SHERLOCK
Most implemented papers
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning
We present Sherlock, an annotated corpus of 103K images for testing machine capacity for abductive reasoning beyond literal image contents.
Visual Abductive Reasoning
In this paper, we propose a new task and dataset, Visual Abductive Reasoning (VAR), for examining abductive reasoning ability of machine intelligence in everyday visual situations.
RCA: Region Conditioned Adaptation for Visual Abductive Reasoning
Adapters are used for fine-tuning CLIP models for downstream tasks and we design a new attention adapter, that directly steers the focus of the attention map with trainable query and key projections of a frozen CLIP model.
Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction
To enable research in this understudied area, a new dataset named the DHPR (Driving Hazard Prediction and Reasoning) dataset is created.
