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NLPEERv2: A Unified Resource for the Computational Study of Peer Review
Dataset of peer review reports and paper drafts from diverse domains and venues. It extends the previous dataset NLPEER to version 2. We provide all sub-versions of the dataset... -
Content-Adaptive Downsampling in Convolutional Neural Networks
Many convolutional neural networks (CNNs) rely on progressive downsampling of their feature maps to increase the network's receptive field and decrease computational cost.... -
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ...
Omnidirectional depth perception is essential for mobile robotics applications that require scene understanding across a full 360° field of view. Camera-based setups offer a... -
FEDI v2 Dataset
FEDI is the first task-oriented document-grounded dialogue dataset for learning from demographic information, user emotions and implicit user feedback. FEDI v2 improves the... -
Benchmarking the Attribution Quality of Vision Models
Attribution maps are one of the most established tools to explain the functioning of computer vision models. They assign importance scores to input features, indicating how... -
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
The lack of out-of-domain generalization is a critical weakness of deep networks for semantic segmentation. Previous studies relied on the assumption of a static model, i. e.,...