Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app

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Overstate

,OOD-CV: A Benchmark for?Robustness to?Out-of-Distribution Shifts of?Individual Nuisances in?Naturals they either rely on synthetic data or ignore the effects of individual nuisance factors. We introduce OOD-CV?, a benchmark dataset that includes out-of-distribution examples of 10 object categories in terms of pose, shape, texture, context and the weather conditions, and enables benchmarking model

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cuticle

,The Anatomy of?Video Editing: A Dataset and?Benchmark Suite for?AI-Assisted Video Editing,t reframing, rotoscoping, color grading, or applying digital makeups. However, most of the solutions have focused on video manipulation and VFX. This work introduces the Anatomy of Video Editing, a dataset, and benchmark, to foster research in AI-assisted video editing. Our benchmark suite focuses o

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尖酸一點

,PANDORA: A Panoramic Detection Dataset for?Object with?Orientation,tion to better understand the content of the panoramic image. These datasets and detectors use a Bounding Field of View (BFoV) as a bounding box in panoramic images. However, we observe that the object instances in panoramic images often appear with arbitrary orientations. It indicates that BFoV as

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correspondent

,Exploring Fine-Grained Audiovisual Categorization with?the?SSW60 Dataset, has made great strides in fine-grained visual categorization on images, the counterparts in audio and video fine-grained categorization are relatively unexplored. To encourage advancements in this space, we have carefully constructed the SSW60 dataset to enable researchers to experiment with classi

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,The Caltech Fish Counting Dataset: A Benchmark for?Multiple-Object Tracking and?Counting,ar videos as a rich source of data for advancing low signal-to-noise computer vision applications and tackling domain generalization in multiple-object tracking (MOT) and counting. In comparison to existing MOT and counting datasets, which are largely restricted to videos of people and vehicles in c

Airtight

,A Dataset for?Interactive Vision-Language Navigation with?Unknown Command Feasibility,input command is fully feasible in the environment. Yet in practice, a request may not be possible due to language ambiguity or environment changes. To study VLN with unknown command feasibility, we introduce a new dataset Mobile app Tasks with Iterative Feedback (MoTIF), where the goal is to comple