depth estimation
PulseAugur coverage of depth estimation — every cluster mentioning depth estimation across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New dataset stresses AI vision models with extreme mirror reflections
A new dataset featuring a robot costume in a high-specularity mirror suit has been released to challenge computer vision and depth-estimation algorithms. The dataset comprises 425 RAW/JPEG images captured in outdoor env…
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New ROVR dataset aims to advance autonomous driving depth estimation
Researchers have introduced ROVR, a new large-scale depth dataset for autonomous driving, aiming to overcome the limitations of existing datasets like KITTI and nuScenes. ROVR features 200,000 high-resolution frames cov…
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New framework ReVISE enhances MLLM reliability in visual tasks
Researchers have developed a new framework called ReVISE to improve the reliability of multimodal large language models (MLLMs) when using external tools for visual tasks. This framework enables MLLMs to verify the outp…
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GeoNeXt uses video models for efficient geometry estimation · 2 sources tracked
Researchers have developed GeoNeXt, a novel framework that repurposes pretrained video generative models for geometry estimation tasks like depth and surface normal prediction. By formulating the problem as next-frame p…
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New method integrates aleatoric and epistemic uncertainty in deep learning
Researchers have developed a new method for uncertainty quantification (UQ) in deep learning models, particularly for high-dimensional output spaces. This approach jointly models aleatoric uncertainty, which accounts fo…
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New framework repurposes RGB foundation models for thermal depth estimation
Researchers have developed RGB-HS, a new framework designed to improve depth estimation from thermal images by leveraging RGB-based foundation models. This approach utilizes hierarchical supervision, aligning representa…